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NERVA VISION
Detects, recognizes, identifies, and tracks images, video, people, and objects.
AI platform
NERVA, TIGEREYE's AI platform
The Enterprise AI Platform developed by TIGEREYE.
Neural Engine for Reasoning, Vision & Action
Build Your Own AI Services
See, understand, decide, act.
NERVA is the Enterprise AI Platform developed by TIGEREYE.
It integrates Vision AI with cognitive AI such as LLMs, RAG, and agents, delivering everything from recognition to decision-making and business execution on a single platform.
See, think, and act on a single platform
NERVA connects seeing (NERVA VISION) with thinking and acting (NERVA MIND) on a single platform.
Because the ability to see video and the ability to think and act sit on the same platform, NERVA can understand what it sees, make decisions, and carry them through to business execution.
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NERVA MIND
Searches and understands knowledge, then reasons, remembers, and plans.
Four roles of the shared foundation
A single foundation handles model management and execution, connections to external systems, and operations.
Rather than sending all your video and data to the cloud, you can choose where everything runs to suit your environment. It also meets healthcare and manufacturing requirements (offline, inside hospitals or factories).
The four roles of the shared foundation: MODEL (manages and runs AI models), ACCESS (provides entry points for using AI from outside), CONNECT (connects to your existing systems and data), and OPERATE (operates securely, with visibility). Below them are the places it can run (Cloud, Private Cloud, On-premises, Local AI, Hybrid).
MODEL
Manages and runs AI models
ACCESS
Provides entry points for using AI from outside
CONNECT
Connects to your existing systems and data
OPERATE
Operates securely, with visibility
Where it runs
Choose to suit your environment
Trinity Eye
TIGEREYE's proprietary technology for dialogue.
Three functions with distinct roles (Stage, Talk, Judge) work together with Trinity Scoring, a scoring mechanism.
Rather than simply using an LLM, it evaluates the dialogue, shapes its flow, and dynamically controls the AI's responses toward achieving the goal.
- Stage
Adjusts the conversation flow in real time and optimizes the scenario.
Automatically controls how the dialogue progresses according to its purpose.Conversations with a set flow, such as sales pitches, explanations of important matters, and interviews, can be configured stage by stage, from opening to close.
Example: Opening → Confirming needs → Proposing products → Answering questions → Proposing a purchase → Closing- Talk
Generates conversation and responds to user requests.
It is the speaker in the dialogue, generating conversational text with an LLM.It returns words suited to the moment, following the next step and flow decided by Judge and Stage.
- Judge
An AI model developed in-house by TIGEREYE that handles judgment in dialogue.
Beyond judging whether an answer is correct, it evaluates "Does this action align with the goal?", "What will happen next if it is carried out?", and "Should it be carried out, given the risks?", then decides the next step.
- Trinity Scoring
A proprietary scoring mechanism.
It works with the three functions to optimize control of generative AI.A camera reads facial expressions and scores understanding, interest, and emotional positivity.
Prompts are adjusted to match those scores, shaping the LLM's output.
Patents
The technologies behind TIGEREYE's AI are patented or patent pending.
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Patent granted (Patent No. 7296538)
Gait Recognition Technology
A technology that identifies individuals by focusing on how people walk and move, extracting features and differences from video. It can identify people even from distances where their faces are not visible, and it stands out for its speed and high recognition accuracy.
Because it identifies people in real time, it enables quick, accurate identity checks in security, entry and exit management, and more.
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Patent application filed (Application No. 2025-035944)
Context-Adaptive AI Avatar/Chatbot
A technology that responds optimally and with intent, adapting to the situation of the user's dialogue. A camera reads facial expressions and scores understanding, interest, and emotional positivity. It determines the current stage from the flow of the dialogue, adjusts prompts to match the scores, and shapes the LLM's output.
It can be used in sales, customer support, education, healthcare, dialogue with robots, and more. Trinity Eye is based on this technology.
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Joint patent application filed (Application No. 2025-180014)
OFFICE AGENTIC AI
A mechanism in which AI evaluates, selects, and learns from AI. The application was filed jointly with the aim of changing behavior in office spaces and improving intellectual productivity. Without people setting rules, the AI itself selects the combination that delivers the best results for the situation.
Three layers—dialogue (Talk), evaluation (Judge), and selection (Match)—work together to evaluate AI output against eight metrics and select the optimal combination of agents. Because it repeats the cycle of "evaluate, select, execute, learn," its accuracy and efficiency improve the more it is used.
Start by telling us about the challenges you want to solve with AI
Toward workplaces where AI is simply part of everyday work.