Gorilla Technology Group Inc. (‘Gorilla’) is a solution provider in Security Intelligence, Network Intelligence, Business Intelligence and IoT technology, with operations and distribution and sales channels in the Asia Pacific and other key regions around the world, including the United States, Europe, the Middle East and Latin America.
The company's established technologies in edge AI computing, video analytics, and OT security solutions and services form the foundation of its line of product...
Gorilla Technology Group Inc. (‘Gorilla’) is a solution provider in Security Intelligence, Network Intelligence, Business Intelligence and IoT technology, with operations and distribution and sales channels in the Asia Pacific and other key regions around the world, including the United States, Europe, the Middle East and Latin America.
The company's established technologies in edge AI computing, video analytics, and OT security solutions and services form the foundation of its line of product and service offerings for a wide range of commercial, industrial, municipal, and government customers. To provide end-to-end solutions for various sectors, the company partners with industry-leading firms, such as cloud infrastructure providers, telecoms, chipset vendors, and storage manufacturers.
The company's proprietary machine learning and deep learning algorithms are foundational to its products and services, which enable its customers to securely move, store, and analyze data for use in biometric authentication, account management, device management, business intelligence, and other applications. The company divided its products and services into two segments, namely Video IoT and Security Convergence, each containing the video intelligence and Internet of Things (‘IoT’) and convergence of information technology (IT) and operational technology (OT) security solutions, respectively.
As of December 31, 2023, the company had been deploying its products and solutions in offices, highways, train stations, parking buildings, airports, ports, city traffic, logistics of air-freight and container ships, city police departments, national law enforcement agencies, a national weather bureau, a national ocean affairs council, and correctional facilities, among many other vertical entities to collect, process, and analyze raw data in order to create actionable data points for its customers, among many other vertical businesses.
Overview of Business
Edge AI significantly underlies the company's business offering. When data is processed at a network’s ‘edge’ (or where the data is generated and consumed) on devices where it was originally created, it lessens the need for additional computation or power requirements or traditional hardware and software, not to mention the bandwidth needed in constantly pushing video data from edge to server.
A significant portion of the company's customers are governmental agencies. To meet the accounting, invoicing, and budgeting procedures applicable to those customers, its income generated by particular governmental agency customers will be recognized upon the customers’ acceptance of its invoice.
AI Lifecycle Framework: Turning Video & Network Intelligence into Actionable Insights Using a Big Data Platform
Edge AI Computing
By boosting accuracy and minimizing human error through automation, edge AI and edge computing devices help numerous sectors become more efficient and safer. Machine learning intelligent camera systems can gather raw data, process it, and analyze it using facial recognition to identify persons of interest and questionable actions.
Numerous industries across the board are already seeing the potential of these edge computing devices to benefit people’s daily life. Transportation/driverless cars, education, medical/healthcare, agriculture, manufacturing/factories, retail/shopping, and video surveillance are all early users of edge AI and edge computing technologies.
The company's technology in edge AI computing makes up a comprehensive video surveillance system that is designed for CPU efficiency. Recognizing the high computing demand it needs, the company's edge AI and deep learning technology can ‘piggyback’ on big data at the edge, and, with better algorithms, a new generation of video analytics is created.
Gorilla IVAR has edge AI technology that may be used to enable real-time responses to events from edge and IoT devices and security equipment. Users obtain advanced insights about people, vehicles, and moving objects in the form of information for unique use-cases in surveillance and security, retail and customer service, traffic and parking, staff and visitor management, and other areas. As a certified computer vision MRS partner of Intel to optimize its solution with OpenVINO, the company's IVAR is on the pulse of the market, enabling clients to benefit from the Open Visual Inference & Neural Network Optimization toolkit in new and unexpected ways. Gorilla’s AI technology is helping fast-track the deployment of computer vision for edge computing involving cameras and IoT devices, and it is being used to help develop solutions that emulate human sight, useful for addressing the growing markets in deep learning and computer vision. It has been used successfully in edge implementations, useful for single, stand-alone device locations like when pointed at a point-of-sale system, in an edge/gateway configuration, used in larger areas encompassing multiple moving pieces like for large train stations, and in server configurations, which may ensure expansive areas like hospitals, airports and smart cities can keep their citizens safe.
Gorilla OT Security uses AI technology to deliver endpoint and network security in the OT environment. Gorilla OT Security may be used in a wide range of OT fields, including ports, airports, power, medical care, factory automation, intelligent traffic management, retail, financial, entertainment, logistics and smart cities, among others and easily converges with existing IT security.
By boosting accuracy and minimizing human error through automation, Gorilla’s edge AI system is assisting industries in becoming more efficient and safer. Gorilla offers high-performance video analysis to bring edge and IoT data and business intelligence into the age of machine learning while ensuring operational security. This solution delivers advanced dataset services for cloud servers and enables value-added applications in numerous sectors, such as retail, industrial markets, banking, education and public safety.
AI Big Data Platform
Edge AI devices not only process various types of structured data but can also analyze and transform unstructured video and image data into structured data via deep learning, a form of AI technology.
Once processed, the data is encrypted and sent with the time of collection as an event for analysis in vertical application services built on top of Gorilla’s AI Big Data Platform, which is a distributed system that can be easily scaled out by adding more nodes to improve its capacity and computation power. It can accommodate structured data, such as relational database, CSV/Excel/JSON/XML files, and OpenAPI, and unstructured data, such as video, images, and text from edge AI devices and various other heterogeneous data sources. The data can be pre-processed according to the characteristics of the data source to ensure consistency and availability during the import process.
After data is imported into the AI Big Data Platform, it will be indexed according to its time, location information, and the characteristics of each data field to form a temporal-spatial database, so that the company can build various vertical applications and services to process, correlate, and analyze data on top of the platform.
The core of the Gorilla AI Big Data Platform is AI Hyper Learning. After the data is collected by the edge device being sent to the Big Data Platform, in addition to analyzing with pre-trained analysis models, it can also use the AI Hyper Learning core to train a more accurate AI algorithm based on the field-specific data and then apply the new AI model to the edge AI device to form a complete AI Lifecycle. Integrating the features of 5G multi-access edge computing (‘MEC’), data can stay in the field and the AI Hyper Learning core can be deployed to the MEC Server on the field side.
Vertical AI Application Services
The company is building Vertical AI Application on the rapidly evolving Hybrid Edge-Cloud environment, which will eventually overlap with the company’s core technology. Multiple vertical applications will be built on top of the AI Big Data Platform to provide real-time and statistics AI data and visualization dashboard, which will support both video analytics data and cybersecurity analytics AI data.
The company provides a variety of AI solutions and services that combine video analytics and IoT technology to deliver business intelligence insights for improving performance in sales, operations, and understanding of customer needs. Smart cities, commercial and major enterprise settings, in retail and hospitality, and academia are just a few of the key industries where this technology is already implemented. While security and safety are at the root of these solutions, governments and enterprises are using the company's vertical solutions and services in new and innovative ways, such as to ease traffic congestion or better manage customers in a busy retail environment.
Enterprises, small businesses, and smart cities are increasingly seeing the advantage of implementing AI. The company's vertical solutions are a real-time video analytics solution that creates many benefits in the business and security intelligence fields by being an Intel certified Market Ready Solution (MRS), performance-driven edge AI and computer vision software. Gorilla’s vertical solutions are fueled by the need to make sense of large data sets from video applications and the need for AI optimization.
The company's solutions and services have already been implemented in the following key vertical markets:
Smart City — For public safety, driverless cars, and to monitor changes in the environment;
Transportation — Traffic monitoring, parking management, and more;
Business and Enterprise — In building safety and security, as well as employer/employee turnout;
Retail and Hospitality — For targeted marketing, customer management, and loss prevention; and
Education — For campus security and professor/student course engagement.
Business for Major Verticals
Smart City & Transportation: Stadium and Public Spaces; Airports, Ports & Stations; Traffic & Parking Management; Highway, Street & Intersection; Power Plants & Key Infrastructure Projects; and Environmental Monitoring.
Government, smart parking, campus, and arena administrators can use Gorilla Smart City and Safe City solutions to better monitor, manage, and make large-scale decisions. The company's comprehensive Smart Municipal solution, which is based on IVAR’s AI technology, has been used in a number of city projects and excels at traffic control, public safety, and central management. The company's edge computing technologies, like IVAR, are influencing how people use intelligent video analytics around the world.
Industrial: Automobiles; Energy & Oil; Manufacturing & Robotics; Architecture & Construction; Medical Instruments; and Defense.
To efficiently manage people and spaces, Gorilla Industrial Solutions delivers AI-based video surveillance and OT security. Integrating access control, attendance, scheduling, and intrusion detection can easily be integrated with current departments or company-wide systems. It merges traditional processes with IoT, facial recognition, and temperature and mask detection technologies, which allows businesses to access, control, and manage employee and visitor records in a single location.
Commercial: Retail; Healthcare; Education; Financial & Banking; Telecommunication; and Data Center & ISP.
Intelligent video analytics are used by the company's Commercial Solutions to safely manage personnel. Access control, attendance, scheduling, and performance monitoring are all easily integrated into current departments or corporate systems. It combines traditional processes with IoT, facial recognition, and temperature and mask detection technologies to enable enterprises to access, regulate, and manage employee and visitor records in a single location.
Government & Public Services: Criminal Investigation Agencies; Prosecutors’ Offices; State & City Police; Correction Agencies; Border & Coast Guards; Intelligence Agencies; and National Security Agencies.
Intelligent video analytics are used by Government and Public Service Solutions to help people and traffic flow more safely. Organizations can effectively control and monitor traffic in crucial locations by using license plate recognition and vehicle detection analytics.
The company's Suite of Products and Services
The company’s edge AI platform was one of the first to use Intel’s OpenVINO toolkit to bring edge computing, IoT data and business intelligence into the machine-learning era.
To provide various and highly accurate insights in edge computing, the company uses a combination of machine learning and deep learning. All of the data is encrypted, and the service is protected by the company’s endpoints and network security solution. Edge AI is the cornerstone of the company's product and service offerings, and the company underlies its entire array of solutions.
AI Models, AI Appliances, and AI SaaS Platforms are among the company’s products and services the company offers to its customers.
AI Models and Platform Independent Offerings
OT security and video analytics AI Models can be easily incorporated into AI Boards, AI Appliances, OEM hardware, and third-party platforms to enable AI functionality and address business and operational needs.
Video Analytics
Intelligent video analytics (‘IVAs’) are AI models that can scan video for patterns and distinguish specific items using AI algorithms and metadata.
The company is combining video analytic specialization of over 40 IVAs with leading industrial PCs, network appliances, car PCs, and servers from various partners.
Based on the categories, video is processed to generate analytic data. Video analytics for various verticals will be launched in tandem with the launch of vertical applications on a well-defined timeline: Behavioral Analytics; People/Face Recognition; Vehicle Analysis; Object Recognition; and Business Intelligence.
Behavioral Analytics
Algorithms are used in these analytics to look for specific behavior. A behavior might be characterized as action over time. As a result, each behavior analytics algorithm requires more than one frame from the video to identify whether or not an event or behavior has occurred. Behavior analytics algorithms search for changes from frame to frame over time in frames to detect a very particular and predefined event or activity.
The following behavior analytics algorithms are used in the company's solutions:
The People Counting IVA detects and counts people for a specified amount of time as they enter a zone and/or cross a line that users define in the software.
The Line Crossing IVA detects when people cross a line (or lines) of user-defined length and position.
The Intrusion Detection IVA monitors user-created zones to detect any activity or entries by moving objects (like people).
The Direction Detection IVA monitors a user-created zone for people moving within the zone and in the marked direction. Movements in the opposite direction do not trigger an alert.
The Direction Violation Detection IVA operates the same as the Direction Detection IVA but also detects and alerts to movements in the opposite direction. Security checks at airports and other transportation hubs benefit from this type of IVA.
The Loitering Detection IVA monitors figures or people entering and then remaining in a user-created zone for a specified period.
People/Face Recognition
The company categorizes People/Face Recognition IVAs into two core groups:
The Human Detection IVA detects human figures within the video. Once detected, features like clothing color, gender, eyewear, masks, and age group can be detected as well.
The Face Recognition IVA, which is subject to the privacy regulation applied to each region, recognizes and identifies faces and is used in conjunction with the company's Business Automation Platform (BAP) software and its facial recognition database. While there are a myriad of uses for this, Face Recognition IVAs are often used for watch lists, VIP identification, attendance systems, and black lists.
Vehicle Analysis
Vehicle analysis IVAs have been widely deployed by transportation authorities to keep traffic flowing smoothly, reduce traffic violations, and assist with criminal investigations. These IVAs generate real-time events and statistical data that can be used to make quick decisions and deploy fewer workers.
The Vehicle Classification IVA detects vehicle types, e.g., motorbikes, cars, and buses.
The Vehicle Direction Detection & Counting IVA counts the number of vehicles moving in a specific direction.
The Traffic Violation Detection IVA recognizes the vehicles that violate traffic regulations or enter into prohibited areas.
The License Plate Recognition IVA recognizes license plates on static or moving vehicles under the privacy regulation applied to each region.
Object Recognition
Similar to the People/Face Recognition IVAs, the Object Recognition IVAs utilize algorithms to train software to detect and recognize specific objects. Once trained, the IVAs generate real-time recognition and identification of objects within the parameters set by the end-user for a number of uses — most notably, the identification of weapons for immediate security response.
Business Intelligence
The company's business intelligence analytics models provide visual overviews of top-performing traffic, people count, gender, and ages for single and multi-store environments to assist clients in better target product marketing strategies, especially when combined with POS data, conversion rate, and consumer preference analysis. Additionally, clients utilize the company's business intelligence analytics models to further optimize shop layout, product promotion, and marketing/advertising strategy, and compare analytics data from one period of time to another and across multiple data sources.
IT-OT Security Convergence
AI algorithms for anomaly detection applied to both network and endpoints are at the heart of the company's IT-OT Security Convergence, allowing system administrators and security engineers to detect suspicious behaviors in real time and respond quickly to reduce security risk and damage caused by hackers or malware. These algorithms can be used to offer AI features to third-party software and hardware platforms, in addition to the company's own products and solutions.
Network Anomaly Detection
The company employs AI to learn diverse anomalies in network behaviors in order to create AI models for network anomaly detection. These AI models can detect a variety of anomalous network behaviors, including denial of service, network topology abnormality, abnormal network traffic, abnormal communication protocol, network intrusion, and so on.
Endpoint Malware and Suspicious Behavior Detection
The company collects a huge number of harmful programs and footprints created by various malicious behaviors in the endpoint environment and trains AI models to detect malicious programs and behaviors using Deep Learning technology. The key benefit of employing these AI models is that they still have a high detection rate when confronted with unknown dangerous programs or behaviors; therefore, there is no need to update virus patterns or detection criteria on a regular basis.
AI Appliances
Intelligent Video Analytics (IVA) Appliances
The company's edge AI IVA Appliances install its software on hardware bundles, resulting in all-in-one solutions. IVA Appliances use deep learning to analyze and turn unstructured video and picture data into structured data. Once processed, the encrypted data is delivered to public, private, or hybrid servers as an event with the time of capture for analysis. The data is then transformed into useful, real-time insights by the company's numerous AI algorithms, which include people, vehicle, and object detection capabilities.
IVAR Appliance
IVAR by Gorilla is a comprehensive all-in-one surveillance solution that combines video management and intelligent video analytics (IVAs). The real-time analytics solution from IVAR provides insight into business and operations in a single, easy-to-read statistics dashboard. People and face recognition, vehicle detection and recognition, object detection and classification, behavior analysis, business intelligence, and COVID-19 management and prevention are among the platform’s primary capabilities.
IVAR allows government, transportation, business, and retail administrators to better monitor, manage, and make decisions on a large scale. Many projects throughout the world have used IVAR, including traffic control, public safety, enterprise security, and retail analytics. The company's edge computing solutions, such as IVAR, are having an impact on how society employs intelligent video analytics around the world.
Smart Attendance
The company offers a complete workforce management solution with its Smart Attendance. Smart Attendance makes use of IVAs to allow businesses to track employee health and safety, work hours, clock-ins/outs, absenteeism, and HR management departments in a secure environment, ensuring the protection of company assets and intellectual property.
Smart Attendance’s primary features include contactless access via facial recognition and RFID/card recognition; biometric security temperature detection; and two-factor authentication.
Smart Attendance automatically logs employee timestamps directly to a database, minimizing manual data input costs and payroll processing. Smart Attendance works with existing systems, such as clock-in machines, iPads, and computers with webcams. The company's product enables accurate facial recognition, even when staff wear masks, and is combined with temperature detection to empower organizations to create the safest work environments possible.
Event & Video Management System Appliances
Gorilla Event & Video Management System (EVMS) is an advanced VMS with an AI-based event search and management system to store event/object attributes in a temporal-spatial big data database from the company, which delivers comprehensive operational management and business insights.
Operation Technology (OT) Security Appliance
OT is a type of hardware and software used to monitor and control physical devices, processes, and infrastructure. OT Security is a common form of cybersecurity used to protect industrial systems and networks from various threats.
The company offers robust cybersecurity solutions leveraging AI and machine learning for OT networks to protect customers’ data and devices. To defend against attacks, the company offers a wide range of data, network, and endpoint security solutions to ward off attacks, along with AI-based forensic tools and comprehensive data monitoring and alert systems.
Security convergence is a guiding philosophy for the company's cybersecurity products. The company sees how digital transformation is enabling businesses to become more resilient and stronger in their networks, but it also recognizes the potential for cyber threats and endpoint protection. Malicious attacks are always developing, and other risk factors, such as the fact that certain endpoints are running obsolete software, make them more vulnerable to hackers, highlighting the significance of solid endpoint protection and other advanced network security measures.
The company's OT Security Appliance includes the following:
NetProbe is an AI-based intrusion detection and prevention system that learns localized cyber-attack patterns and blocks threats from outside of the network, ensuring the safety and security of its data.
NetTrap imitates many network services and hardware devices to broaden the breadth of threat detection. It adopts AI-based technology that detects suspicious activities in the network. It can also isolate and control cyber risks before they occur, preventing internal users or devices from connecting to hostile IPs with or without their awareness. By utilizing automated methods and deep learning to identify harmful websites, network administrators can save time.
EdgeGuard recognizes threat patterns and prevents attacks from outside the network. EdgeGuard is a cybersecurity system designed for tough industrial OT environments. It leverages edge AI to identify cyber threats and offers a comprehensive protection system.
FR-MOTP strengthens authentication processes by combining facial recognition with a one-time password sent to a mobile device. The additional stages of verification protect IT and OT systems from identity theft and brute force attacks.
AI SaaS Platform
Smart Retail SaaS
Smart Retail is a comprehensive, real-time, analytical tool for single/multi-store operations and retail marketers, incorporating camera and IoT-gathered data to store information relating to traffic, shopper identification, revenue, and conversion rates to deliver insights for more targeted advertising and efficient staffing management.
The core capabilities of Smart Retail are:
Shopper Demographics: Smart Retail provides detailed information on customer traffic, gender, and age. This data, when combined with point-of-sale data, conversion rates, and shopper preferences, allows companies to create more targeted promotional campaigns to increase sales.
Visualized Shopper Behavior: Smart Retail leverages IoT devices and cameras to gather data relating to a shopper’s location and their time spent in certain areas to visualize behaviors and help clients understand product attractiveness.
Advanced Data Analytics: Smart Retail’s analytics dashboard provides clients with real-time, actionable data so they can take advantage of market momentum or avoid potential losses. It provides high-priority items that are integrated with external databases, such as point-of-sale devices, to produce comprehensive and in-depth insights.
Smart City and Transportation SaaS
Through the company's Smart City SaaS, it provides superior traffic management, public safety, and planning data for governments, transportation entities, campus, and arena managers. Smart City can provide IVAs for the management of large-scale areas with considerable traffic volumes using camera and IoT data.
The core capabilities of Smart City are:
People tracking and experience reporting: Smart City gives clients actionable items to manage services within defined zones by providing real-time data on foot traffic and congestion in defined locations.
Access control: Face recognition is used in Smart City to improve security by authenticating access to specific areas.
Vehicle management: Smart City improves traffic management by diverting traffic to less congested regions using license plate recognition and vehicle location searches.
Public safety: Smart City employs video analytics to detect and warn clients of area intrusions into restricted areas, suspicious loiterers, and black-listed individuals. It can also monitor and identify traffic violations in real time, allowing for increased enforcement while lowering the number of officers on the street.
Endpoint Security SaaS
Endpoint Security SaaS, as the name suggests, is a service that protects endpoints against security threats. Malware and suspicious activities detection, vulnerability warning, policy conformance, and Biometric Multi-factor Authentication are all part of the solution.
AI-based malware and behavior detection can supplement the endpoint’s existing antivirus software, detect unknown malware, and lower the risk of APT assaults on endpoints.
Examine whether the endpoint adheres to the organization’s security policies. Many government organizations, for example, have established a government configuration baseline (GCB) that sets the organization’s standard security setup for each endpoint.
Check for the presence of software with known vulnerabilities on the endpoint to prevent hackers or malware from exploiting these flaws to compromise the system.
When logging or executing high-privilege commands, the user must pass biometric multi-factor authentication.
Edge AI Computing, AI Big Data Platforms, and Vertical AI Application Services are all part of the company's AI lifecycle framework. The company also offers a wide range of vertical solutions for edge computing in Government & Public Service, Smart City and Safe City, Industrial, and Commercial, whereas cloud-based solutions providers, such as Alphabet, Microsoft, and Amazon Web Services, mostly provide cloud-based AI services for general use. As a result, clients would have to customize solutions to meet their specific needs while also being willing to accept privacy concerns and the risk of network latency.
The company has advanced edge AI technology that allows for real-time responses to events from edge and IoT devices, as well as security equipment. Users obtain advanced insights about people, cars, and moving objects in the form of information for unique use cases in surveillance and security, retail and customer service, traffic and parking, employee and visitor management, and other areas. As a certified computer vision MRS (Market Ready Solution) partner of Intel, the company’s AI technology is helping fast-track the deployment of computer vision for edge computing involving cameras and IoT devices.
The company is engaging with a variety of cross-platform edge device makers for SoC to provide optimized AI capabilities on various edge devices.
The company is building Vertical AI Applications on the rapidly evolving Hybrid Edge-Cloud environment. On top of the AI Big Data platform, multiple vertical applications will be developed to provide a real-time and statistical AI data and visualization dashboard that would integrate both video analytics and cybersecurity analytics AI data.
The company offers a wide range of AI solutions and services that integrate video analytics and IoT technology to provide business intelligence insights for improving sales, operations, and customer experience. Smart cities, commercial and major enterprise settings, retail, and hospitality are just a few of the key industries that have already implemented this technology. Governments and businesses are using the company's vertical solutions and services in innovative ways, such as easing traffic congestion or better managing customers in a busy retail setting.
Gorilla engages with both private and public sector customers. Retail, construction, manufacturing, medical and office administration are among the company’s private sector customers, while state and local governments, transportation entities, correctional facilities, educational institutions and law enforcement agencies are among its public sector customers.
Strategies
The company's core strategies revolve around the growth of its business, which requires continuous refinement and development of its product and service offerings, expansion of its customer base and geographic reach, scaling of its sales and marketing efforts, and the pursuit of key partnerships to ensure that its technology is the foremost choice in the market.
Gorilla provides edge AI appliances and smart edge devices with embedded Gorilla AI models to generate actionable insights across the edge to the edge datacenter using the company’s AI Lifecycle eco-growth recurring business model. AI data analytics SaaS and new scenario-based AI inference educated by AI training SaaS can be dispatched to edge AI appliance to generate a new set of AI data analytics forming an eco-growth AI Lifecycle for the public sectors, Fortune 500 enterprises, and small and media size companies.
The company’s core strategies are to continue to innovate across all areas that are key to product leadership as it pursues end-to-end solutions for its customers’ rapidly evolving needs, while leveraging existing core competencies; seek reseller partnerships for AI SaaS services and AI Appliances in regions without operating subsidiaries in order to expand into new markets; and pursue collaborative partnerships with other key players in sectors relating to chipset production, cloud services, telecommunications, and consumer devices.
Marketing and Sales
The company is developing new AI models for all verticals in Asia’s rising economies, leveraging its extensive manufacturing supply chain to produce AI Appliances and AI SaaS that can be delivered and implemented quickly in the United States and European markets. The company is accelerating cooperative growth by utilizing hybrid cloud business infrastructure, which includes Edge, Private Cloud, and Public Cloud.
In each location, the company has sales, pre-sales, and after-sales teams that provide around-the-clock service. The company's regional sales and support teams educate and collaborate with all reseller and deployment partners to discover the right customers and deliver quality service under reseller and/or memorandum of understanding agreements.
The majority of the company’s global sales forces are based in Taiwan, Bangkok, Thailand, London, the U.K., and Cairo, Egypt. The company plans to expand its sales force in strategically selected regions, such as EMEA, where it finds higher new business growth.
Research and Development
The company’s research and development expenses were $3.70 million for the year ended December 31, 2023.
Intellectual Property
The company holds 28 patents. Of the total 28 patents, 14 are located in Taiwan (expiring between 2030 and 2039), 7 are located in China (expiring between 2029 and 2037), 1 is located in the United Kingdom (expiring in 2024), and 6 are located in the United States (expiring between 2031 and 2040). The company’s applications in China, the United States, Europe, and Hong Kong with Patent Cooperation Treaty (‘PCT’) are still pending. The company’s patents relate to hardware platforms, AI models, AI appliances, and AI SaaS modules.
The company holds 27 trademarks, all of which are granted. Out of the total 27 trademarks, 13 are located in Taiwan, 4 in the United States, 1 in China, 2 in Australia, 2 in Japan, 4 in the United Kingdom, and 1 in Europe. The company holds 7 different domain names covering its business operations, 3 of which are not in use.
Regulation
In Taiwan, a major market where the company's revenues come from, the facial recognition technology is comprehensively used by its customers to collect and process PII; therefore, the company and its customers are subject to Taiwan’s Personal Data Protection Act and the Enforcement Rules thereof.
The procurement of the company’s services and/or products by such customers is subject to the Government Procurement Act of Taiwan and public tender processes.
Gorilla compliances with the standards, criteria and procedures regarding radio frequency devices promulgated by various regulators, including the Federal Communications Commission of the U.S., European Commission and National Communications Commission of Taiwan.Gorilla Technology Group Inc. (‘Gorilla’) is a solution provider in Security Intelligence, Network Intelligence, Business Intelligence and IoT technology, with operations and distribution and sales channels in the Asia Pacific and other key regions around the world, including the United States, Europe, the Middle East and Latin America.
The company's established technologies in edge AI computing, video analytics, and OT security solutions and services form the foundation of its line of product and service offerings for a wide range of commercial, industrial, municipal, and government customers. To provide end-to-end solutions for various sectors, the company partners with industry-leading firms, such as cloud infrastructure providers, telecoms, chipset vendors, and storage manufacturers.
The company's proprietary machine learning and deep learning algorithms are foundational to its products and services, which enable its customers to securely move, store, and analyze data for use in biometric authentication, account management, device management, business intelligence, and other applications. The company divided its products and services into two segments, namely Video IoT and Security Convergence, each containing the video intelligence and Internet of Things (‘IoT’) and convergence of information technology (IT) and operational technology (OT) security solutions, respectively.
As of December 31, 2023, the company had been deploying its products and solutions in offices, highways, train stations, parking buildings, airports, ports, city traffic, logistics of air-freight and container ships, city police departments, national law enforcement agencies, a national weather bureau, a national ocean affairs council, and correctional facilities, among many other vertical entities to collect, process, and analyze raw data in order to create actionable data points for its customers, among many other vertical businesses.
Overview of Business
Edge AI significantly underlies the company's business offering. When data is processed at a network’s ‘edge’ (or where the data is generated and consumed) on devices where it was originally created, it lessens the need for additional computation or power requirements or traditional hardware and software, not to mention the bandwidth needed in constantly pushing video data from edge to server.
A significant portion of the company's customers are governmental agencies. To meet the accounting, invoicing, and budgeting procedures applicable to those customers, its income generated by particular governmental agency customers will be recognized upon the customers’ acceptance of its invoice.
AI Lifecycle Framework: Turning Video & Network Intelligence into Actionable Insights Using a Big Data Platform
Edge AI Computing
By boosting accuracy and minimizing human error through automation, edge AI and edge computing devices help numerous sectors become more efficient and safer. Machine learning intelligent camera systems can gather raw data, process it, and analyze it using facial recognition to identify persons of interest and questionable actions.
Numerous industries across the board are already seeing the potential of these edge computing devices to benefit people’s daily life. Transportation/driverless cars, education, medical/healthcare, agriculture, manufacturing/factories, retail/shopping, and video surveillance are all early users of edge AI and edge computing technologies.
The company's technology in edge AI computing makes up a comprehensive video surveillance system that is designed for CPU efficiency. Recognizing the high computing demand it needs, the company's edge AI and deep learning technology can ‘piggyback’ on big data at the edge, and, with better algorithms, a new generation of video analytics is created.
Gorilla IVAR has edge AI technology that may be used to enable real-time responses to events from edge and IoT devices and security equipment. Users obtain advanced insights about people, vehicles, and moving objects in the form of information for unique use-cases in surveillance and security, retail and customer service, traffic and parking, staff and visitor management, and other areas. As a certified computer vision MRS partner of Intel to optimize its solution with OpenVINO, the company's IVAR is on the pulse of the market, enabling clients to benefit from the Open Visual Inference & Neural Network Optimization toolkit in new and unexpected ways. Gorilla’s AI technology is helping fast-track the deployment of computer vision for edge computing involving cameras and IoT devices, and it is being used to help develop solutions that emulate human sight, useful for addressing the growing markets in deep learning and computer vision. It has been used successfully in edge implementations, useful for single, stand-alone device locations like when pointed at a point-of-sale system, in an edge/gateway configuration, used in larger areas encompassing multiple moving pieces like for large train stations, and in server configurations, which may ensure expansive areas like hospitals, airports and smart cities can keep their citizens safe.
Gorilla OT Security uses AI technology to deliver endpoint and network security in the OT environment. Gorilla OT Security may be used in a wide range of OT fields, including ports, airports, power, medical care, factory automation, intelligent traffic management, retail, financial, entertainment, logistics and smart cities, among others and easily converges with existing IT security.
By boosting accuracy and minimizing human error through automation, Gorilla’s edge AI system is assisting industries in becoming more efficient and safer. Gorilla offers high-performance video analysis to bring edge and IoT data and business intelligence into the age of machine learning while ensuring operational security. This solution delivers advanced dataset services for cloud servers and enables value-added applications in numerous sectors, such as retail, industrial markets, banking, education and public safety.
AI Big Data Platform
Edge AI devices not only process various types of structured data but can also analyze and transform unstructured video and image data into structured data via deep learning, a form of AI technology.
Once processed, the data is encrypted and sent with the time of collection as an event for analysis in vertical application services built on top of Gorilla’s AI Big Data Platform, which is a distributed system that can be easily scaled out by adding more nodes to improve its capacity and computation power. It can accommodate structured data, such as relational database, CSV/Excel/JSON/XML files, and OpenAPI, and unstructured data, such as video, images, and text from edge AI devices and various other heterogeneous data sources. The data can be pre-processed according to the characteristics of the data source to ensure consistency and availability during the import process.
After data is imported into the AI Big Data Platform, it will be indexed according to its time, location information, and the characteristics of each data field to form a temporal-spatial database, so that the company can build various vertical applications and services to process, correlate, and analyze data on top of the platform.
The core of the Gorilla AI Big Data Platform is AI Hyper Learning. After the data is collected by the edge device being sent to the Big Data Platform, in addition to analyzing with pre-trained analysis models, it can also use the AI Hyper Learning core to train a more accurate AI algorithm based on the field-specific data and then apply the new AI model to the edge AI device to form a complete AI Lifecycle. Integrating the features of 5G multi-access edge computing (‘MEC’), data can stay in the field and the AI Hyper Learning core can be deployed to the MEC Server on the field side.
Vertical AI Application Services
The company is building Vertical AI Application on the rapidly evolving Hybrid Edge-Cloud environment, which will eventually overlap with the company’s core technology. Multiple vertical applications will be built on top of the AI Big Data Platform to provide real-time and statistics AI data and visualization dashboard, which will support both video analytics data and cybersecurity analytics AI data.
The company provides a variety of AI solutions and services that combine video analytics and IoT technology to deliver business intelligence insights for improving performance in sales, operations, and understanding of customer needs. Smart cities, commercial and major enterprise settings, in retail and hospitality, and academia are just a few of the key industries where this technology is already implemented. While security and safety are at the root of these solutions, governments and enterprises are using the company's vertical solutions and services in new and innovative ways, such as to ease traffic congestion or better manage customers in a busy retail environment.
Enterprises, small businesses, and smart cities are increasingly seeing the advantage of implementing AI. The company's vertical solutions are a real-time video analytics solution that creates many benefits in the business and security intelligence fields by being an Intel certified Market Ready Solution (MRS), performance-driven edge AI and computer vision software. Gorilla’s vertical solutions are fueled by the need to make sense of large data sets from video applications and the need for AI optimization.
The company's solutions and services have already been implemented in the following key vertical markets:
Smart City — For public safety, driverless cars, and to monitor changes in the environment;
Transportation — Traffic monitoring, parking management, and more;
Business and Enterprise — In building safety and security, as well as employer/employee turnout;
Retail and Hospitality — For targeted marketing, customer management, and loss prevention; and
Education — For campus security and professor/student course engagement.
Business for Major Verticals
Smart City & Transportation: Stadium and Public Spaces; Airports, Ports & Stations; Traffic & Parking Management; Highway, Street & Intersection; Power Plants & Key Infrastructure Projects; and Environmental Monitoring.
Government, smart parking, campus, and arena administrators can use Gorilla Smart City and Safe City solutions to better monitor, manage, and make large-scale decisions. The company's comprehensive Smart Municipal solution, which is based on IVAR’s AI technology, has been used in a number of city projects and excels at traffic control, public safety, and central management. The company's edge computing technologies, like IVAR, are influencing how people use intelligent video analytics around the world.
Industrial: Automobiles; Energy & Oil; Manufacturing & Robotics; Architecture & Construction; Medical Instruments; and Defense.
To efficiently manage people and spaces, Gorilla Industrial Solutions delivers AI-based video surveillance and OT security. Integrating access control, attendance, scheduling, and intrusion detection can easily be integrated with current departments or company-wide systems. It merges traditional processes with IoT, facial recognition, and temperature and mask detection technologies, which allows businesses to access, control, and manage employee and visitor records in a single location.
Commercial: Retail; Healthcare; Education; Financial & Banking; Telecommunication; and Data Center & ISP.
Intelligent video analytics are used by the company's Commercial Solutions to safely manage personnel. Access control, attendance, scheduling, and performance monitoring are all easily integrated into current departments or corporate systems. It combines traditional processes with IoT, facial recognition, and temperature and mask detection technologies to enable enterprises to access, regulate, and manage employee and visitor records in a single location.
Government & Public Services: Criminal Investigation Agencies; Prosecutors’ Offices; State & City Police; Correction Agencies; Border & Coast Guards; Intelligence Agencies; and National Security Agencies.
Intelligent video analytics are used by Government and Public Service Solutions to help people and traffic flow more safely. Organizations can effectively control and monitor traffic in crucial locations by using license plate recognition and vehicle detection analytics.
The company's Suite of Products and Services
The company’s edge AI platform was one of the first to use Intel’s OpenVINO toolkit to bring edge computing, IoT data and business intelligence into the machine-learning era.
To provide various and highly accurate insights in edge computing, the company uses a combination of machine learning and deep learning. All of the data is encrypted, and the service is protected by the company’s endpoints and network security solution. Edge AI is the cornerstone of the company's product and service offerings, and the company underlies its entire array of solutions.
AI Models, AI Appliances, and AI SaaS Platforms are among the company’s products and services the company offers to its customers.
AI Models and Platform Independent Offerings
OT security and video analytics AI Models can be easily incorporated into AI Boards, AI Appliances, OEM hardware, and third-party platforms to enable AI functionality and address business and operational needs.
Video Analytics
Intelligent video analytics (‘IVAs’) are AI models that can scan video for patterns and distinguish specific items using AI algorithms and metadata.
The company is combining video analytic specialization of over 40 IVAs with leading industrial PCs, network appliances, car PCs, and servers from various partners.
Based on the categories, video is processed to generate analytic data. Video analytics for various verticals will be launched in tandem with the launch of vertical applications on a well-defined timeline: Behavioral Analytics; People/Face Recognition; Vehicle Analysis; Object Recognition; and Business Intelligence.
Behavioral Analytics
Algorithms are used in these analytics to look for specific behavior. A behavior might be characterized as action over time. As a result, each behavior analytics algorithm requires more than one frame from the video to identify whether or not an event or behavior has occurred. Behavior analytics algorithms search for changes from frame to frame over time in frames to detect a very particular and predefined event or activity.
The following behavior analytics algorithms are used in the company's solutions:
The People Counting IVA detects and counts people for a specified amount of time as they enter a zone and/or cross a line that users define in the software.
The Line Crossing IVA detects when people cross a line (or lines) of user-defined length and position.
The Intrusion Detection IVA monitors user-created zones to detect any activity or entries by moving objects (like people).
The Direction Detection IVA monitors a user-created zone for people moving within the zone and in the marked direction. Movements in the opposite direction do not trigger an alert.
The Direction Violation Detection IVA operates the same as the Direction Detection IVA but also detects and alerts to movements in the opposite direction. Security checks at airports and other transportation hubs benefit from this type of IVA.
The Loitering Detection IVA monitors figures or people entering and then remaining in a user-created zone for a specified period.
People/Face Recognition
The company categorizes People/Face Recognition IVAs into two core groups:
The Human Detection IVA detects human figures within the video. Once detected, features like clothing color, gender, eyewear, masks, and age group can be detected as well.
The Face Recognition IVA, which is subject to the privacy regulation applied to each region, recognizes and identifies faces and is used in conjunction with the company's Business Automation Platform (BAP) software and its facial recognition database. While there are a myriad of uses for this, Face Recognition IVAs are often used for watch lists, VIP identification, attendance systems, and black lists.
Vehicle Analysis
Vehicle analysis IVAs have been widely deployed by transportation authorities to keep traffic flowing smoothly, reduce traffic violations, and assist with criminal investigations. These IVAs generate real-time events and statistical data that can be used to make quick decisions and deploy fewer workers.
The Vehicle Classification IVA detects vehicle types, e.g., motorbikes, cars, and buses.
The Vehicle Direction Detection & Counting IVA counts the number of vehicles moving in a specific direction.
The Traffic Violation Detection IVA recognizes the vehicles that violate traffic regulations or enter into prohibited areas.
The License Plate Recognition IVA recognizes license plates on static or moving vehicles under the privacy regulation applied to each region.
Object Recognition
Similar to the People/Face Recognition IVAs, the Object Recognition IVAs utilize algorithms to train software to detect and recognize specific objects. Once trained, the IVAs generate real-time recognition and identification of objects within the parameters set by the end-user for a number of uses — most notably, the identification of weapons for immediate security response.
Business Intelligence
The company's business intelligence analytics models provide visual overviews of top-performing traffic, people count, gender, and ages for single and multi-store environments to assist clients in better target product marketing strategies, especially when combined with POS data, conversion rate, and consumer preference analysis. Additionally, clients utilize the company's business intelligence analytics models to further optimize shop layout, product promotion, and marketing/advertising strategy, and compare analytics data from one period of time to another and across multiple data sources.
IT-OT Security Convergence
AI algorithms for anomaly detection applied to both network and endpoints are at the heart of the company's IT-OT Security Convergence, allowing system administrators and security engineers to detect suspicious behaviors in real time and respond quickly to reduce security risk and damage caused by hackers or malware. These algorithms can be used to offer AI features to third-party software and hardware platforms, in addition to the company's own products and solutions.
Network Anomaly Detection
The company employs AI to learn diverse anomalies in network behaviors in order to create AI models for network anomaly detection. These AI models can detect a variety of anomalous network behaviors, including denial of service, network topology abnormality, abnormal network traffic, abnormal communication protocol, network intrusion, and so on.
Endpoint Malware and Suspicious Behavior Detection
The company collects a huge number of harmful programs and footprints created by various malicious behaviors in the endpoint environment and trains AI models to detect malicious programs and behaviors using Deep Learning technology. The key benefit of employing these AI models is that they still have a high detection rate when confronted with unknown dangerous programs or behaviors; therefore, there is no need to update virus patterns or detection criteria on a regular basis.
AI Appliances
Intelligent Video Analytics (IVA) Appliances
The company's edge AI IVA Appliances install its software on hardware bundles, resulting in all-in-one solutions. IVA Appliances use deep learning to analyze and turn unstructured video and picture data into structured data. Once processed, the encrypted data is delivered to public, private, or hybrid servers as an event with the time of capture for analysis. The data is then transformed into useful, real-time insights by the company's numerous AI algorithms, which include people, vehicle, and object detection capabilities.
IVAR Appliance
IVAR by Gorilla is a comprehensive all-in-one surveillance solution that combines video management and intelligent video analytics (IVAs). The real-time analytics solution from IVAR provides insight into business and operations in a single, easy-to-read statistics dashboard. People and face recognition, vehicle detection and recognition, object detection and classification, behavior analysis, business intelligence, and COVID-19 management and prevention are among the platform’s primary capabilities.
IVAR allows government, transportation, business, and retail administrators to better monitor, manage, and make decisions on a large scale. Many projects throughout the world have used IVAR, including traffic control, public safety, enterprise security, and retail analytics. The company's edge computing solutions, such as IVAR, are having an impact on how society employs intelligent video analytics around the world.
Smart Attendance
The company offers a complete workforce management solution with its Smart Attendance. Smart Attendance makes use of IVAs to allow businesses to track employee health and safety, work hours, clock-ins/outs, absenteeism, and HR management departments in a secure environment, ensuring the protection of company assets and intellectual property.
Smart Attendance’s primary features include contactless access via facial recognition and RFID/card recognition; biometric security temperature detection; and two-factor authentication.
Smart Attendance automatically logs employee timestamps directly to a database, minimizing manual data input costs and payroll processing. Smart Attendance works with existing systems, such as clock-in machines, iPads, and computers with webcams. The company's product enables accurate facial recognition, even when staff wear masks, and is combined with temperature detection to empower organizations to create the safest work environments possible.
Event & Video Management System Appliances
Gorilla Event & Video Management System (EVMS) is an advanced VMS with an AI-based event search and management system to store event/object attributes in a temporal-spatial big data database from the company, which delivers comprehensive operational management and business insights.
Operation Technology (OT) Security Appliance
OT is a type of hardware and software used to monitor and control physical devices, processes, and infrastructure. OT Security is a common form of cybersecurity used to protect industrial systems and networks from various threats.
The company offers robust cybersecurity solutions leveraging AI and machine learning for OT networks to protect customers’ data and devices. To defend against attacks, the company offers a wide range of data, network, and endpoint security solutions to ward off attacks, along with AI-based forensic tools and comprehensive data monitoring and alert systems.
Security convergence is a guiding philosophy for the company's cybersecurity products. The company sees how digital transformation is enabling businesses to become more resilient and stronger in their networks, but it also recognizes the potential for cyber threats and endpoint protection. Malicious attacks are always developing, and other risk factors, such as the fact that certain endpoints are running obsolete software, make them more vulnerable to hackers, highlighting the significance of solid endpoint protection and other advanced network security measures.
The company's OT Security Appliance includes the following:
NetProbe is an AI-based intrusion detection and prevention system that learns localized cyber-attack patterns and blocks threats from outside of the network, ensuring the safety and security of its data.
NetTrap imitates many network services and hardware devices to broaden the breadth of threat detection. It adopts AI-based technology that detects suspicious activities in the network. It can also isolate and control cyber risks before they occur, preventing internal users or devices from connecting to hostile IPs with or without their awareness. By utilizing automated methods and deep learning to identify harmful websites, network administrators can save time.
EdgeGuard recognizes threat patterns and prevents attacks from outside the network. EdgeGuard is a cybersecurity system designed for tough industrial OT environments. It leverages edge AI to identify cyber threats and offers a comprehensive protection system.
FR-MOTP strengthens authentication processes by combining facial recognition with a one-time password sent to a mobile device. The additional stages of verification protect IT and OT systems from identity theft and brute force attacks.
AI SaaS Platform
Smart Retail SaaS
Smart Retail is a comprehensive, real-time, analytical tool for single/multi-store operations and retail marketers, incorporating camera and IoT-gathered data to store information relating to traffic, shopper identification, revenue, and conversion rates to deliver insights for more targeted advertising and efficient staffing management.
The core capabilities of Smart Retail are:
Shopper Demographics: Smart Retail provides detailed information on customer traffic, gender, and age. This data, when combined with point-of-sale data, conversion rates, and shopper preferences, allows companies to create more targeted promotional campaigns to increase sales.
Visualized Shopper Behavior: Smart Retail leverages IoT devices and cameras to gather data relating to a shopper’s location and their time spent in certain areas to visualize behaviors and help clients understand product attractiveness.
Advanced Data Analytics: Smart Retail’s analytics dashboard provides clients with real-time, actionable data so they can take advantage of market momentum or avoid potential losses. It provides high-priority items that are integrated with external databases, such as point-of-sale devices, to produce comprehensive and in-depth insights.
Smart City and Transportation SaaS
Through the company's Smart City SaaS, it provides superior traffic management, public safety, and planning data for governments, transportation entities, campus, and arena managers. Smart City can provide IVAs for the management of large-scale areas with considerable traffic volumes using camera and IoT data.
The core capabilities of Smart City are:
People tracking and experience reporting: Smart City gives clients actionable items to manage services within defined zones by providing real-time data on foot traffic and congestion in defined locations.
Access control: Face recognition is used in Smart City to improve security by authenticating access to specific areas.
Vehicle management: Smart City improves traffic management by diverting traffic to less congested regions using license plate recognition and vehicle location searches.
Public safety: Smart City employs video analytics to detect and warn clients of area intrusions into restricted areas, suspicious loiterers, and black-listed individuals. It can also monitor and identify traffic violations in real time, allowing for increased enforcement while lowering the number of officers on the street.
Endpoint Security SaaS
Endpoint Security SaaS, as the name suggests, is a service that protects endpoints against security threats. Malware and suspicious activities detection, vulnerability warning, policy conformance, and Biometric Multi-factor Authentication are all part of the solution.
AI-based malware and behavior detection can supplement the endpoint’s existing antivirus software, detect unknown malware, and lower the risk of APT assaults on endpoints.
Examine whether the endpoint adheres to the organization’s security policies. Many government organizations, for example, have established a government configuration baseline (GCB) that sets the organization’s standard security setup for each endpoint.
Check for the presence of software with known vulnerabilities on the endpoint to prevent hackers or malware from exploiting these flaws to compromise the system.
When logging or executing high-privilege commands, the user must pass biometric multi-factor authentication.
Edge AI Computing, AI Big Data Platforms, and Vertical AI Application Services are all part of the company's AI lifecycle framework. The company also offers a wide range of vertical solutions for edge computing in Government & Public Service, Smart City and Safe City, Industrial, and Commercial, whereas cloud-based solutions providers, such as Alphabet, Microsoft, and Amazon Web Services, mostly provide cloud-based AI services for general use. As a result, clients would have to customize solutions to meet their specific needs while also being willing to accept privacy concerns and the risk of network latency.
The company has advanced edge AI technology that allows for real-time responses to events from edge and IoT devices, as well as security equipment. Users obtain advanced insights about people, cars, and moving objects in the form of information for unique use cases in surveillance and security, retail and customer service, traffic and parking, employee and visitor management, and other areas. As a certified computer vision MRS (Market Ready Solution) partner of Intel, the company’s AI technology is helping fast-track the deployment of computer vision for edge computing involving cameras and IoT devices.
The company is engaging with a variety of cross-platform edge device makers for SoC to provide optimized AI capabilities on various edge devices.
The company is building Vertical AI Applications on the rapidly evolving Hybrid Edge-Cloud environment. On top of the AI Big Data platform, multiple vertical applications will be developed to provide a real-time and statistical AI data and visualization dashboard that would integrate both video analytics and cybersecurity analytics AI data.
The company offers a wide range of AI solutions and services that integrate video analytics and IoT technology to provide business intelligence insights for improving sales, operations, and customer experience. Smart cities, commercial and major enterprise settings, retail, and hospitality are just a few of the key industries that have already implemented this technology. Governments and businesses are using the company's vertical solutions and services in innovative ways, such as easing traffic congestion or better managing customers in a busy retail setting.
Gorilla engages with both private and public sector customers. Retail, construction, manufacturing, medical and office administration are among the company’s private sector customers, while state and local governments, transportation entities, correctional facilities, educational institutions and law enforcement agencies are among its public sector customers.
Strategies
The company's core strategies revolve around the growth of its business, which requires continuous refinement and development of its product and service offerings, expansion of its customer base and geographic reach, scaling of its sales and marketing efforts, and the pursuit of key partnerships to ensure that its technology is the foremost choice in the market.
Gorilla provides edge AI appliances and smart edge devices with embedded Gorilla AI models to generate actionable insights across the edge to the edge datacenter using the company’s AI Lifecycle eco-growth recurring business model. AI data analytics SaaS and new scenario-based AI inference educated by AI training SaaS can be dispatched to edge AI appliance to generate a new set of AI data analytics forming an eco-growth AI Lifecycle for the public sectors, Fortune 500 enterprises, and small and media size companies.
The company’s core strategies are to continue to innovate across all areas that are key to product leadership as it pursues end-to-end solutions for its customers’ rapidly evolving needs, while leveraging existing core competencies; seek reseller partnerships for AI SaaS services and AI Appliances in regions without operating subsidiaries in order to expand into new markets; and pursue collaborative partnerships with other key players in sectors relating to chipset production, cloud services, telecommunications, and consumer devices.
Marketing and Sales
The company is developing new AI models for all verticals in Asia’s rising economies, leveraging its extensive manufacturing supply chain to produce AI Appliances and AI SaaS that can be delivered and implemented quickly in the United States and European markets. The company is accelerating cooperative growth by utilizing hybrid cloud business infrastructure, which includes Edge, Private Cloud, and Public Cloud.
In each location, the company has sales, pre-sales, and after-sales teams that provide around-the-clock service. The company's regional sales and support teams educate and collaborate with all reseller and deployment partners to discover the right customers and deliver quality service under reseller and/or memorandum of understanding agreements.
The majority of the company’s global sales forces are based in Taiwan, Bangkok, Thailand, London, the U.K., and Cairo, Egypt. The company plans to expand its sales force in strategically selected regions, such as EMEA, where it finds higher new business growth.
Research and Development
The company’s research and development expenses were $3.70 million for the year ended December 31, 2023.
Intellectual Property
The company holds 28 patents. Of the total 28 patents, 14 are located in Taiwan (expiring between 2030 and 2039), 7 are located in China (expiring between 2029 and 2037), 1 is located in the United Kingdom (expiring in 2024), and 6 are located in the United States (expiring between 2031 and 2040). The company’s applications in China, the United States, Europe, and Hong Kong with Patent Cooperation Treaty (‘PCT’) are still pending. The company’s patents relate to hardware platforms, AI models, AI appliances, and AI SaaS modules.
The company holds 27 trademarks, all of which are granted. Out of the total 27 trademarks, 13 are located in Taiwan, 4 in the United States, 1 in China, 2 in Australia, 2 in Japan, 4 in the United Kingdom, and 1 in Europe. The company holds 7 different domain names covering its business operations, 3 of which are not in use.
Regulation
In Taiwan, a major market where the company's revenues come from, the facial recognition technology is comprehensively used by its customers to collect and process PII; therefore, the company and its customers are subject to Taiwan’s Personal Data Protection Act and the Enforcement Rules thereof.
The procurement of the company’s services and/or products by such customers is subject to the Government Procurement Act of Taiwan and public tender processes.
Gorilla compliances with the standards, criteria and procedures regarding radio frequency devices promulgated by various regulators, including the Federal Communications Commission of the U.S., European Commission and National Communications Commission of Taiwan.