Nota AI

What Nota AI does

Nota AI is a compressed AI solutions and software optimization platform business focused on B2B and B2G markets. Its mission is to accelerate and maximize the everyday use of AI in the global market. The main platform solution, NetsPresso, resolves issues related to cloud and server-based AI solutions, such as limited network, excessive cost, and privacy breaches. NetsPresso is an automatic model compression platform that downsizes computer vision models for deployment on smaller edge and low-specification devices without performance degradation. Nota's AI technology empowers intelligent transportation systems, facial recognition, and security and surveillance.

Products

• NetsPressoAn automatic model compression platform that downsizes computer vision models to be deployed independently on smaller edge and low-specification devices. It combines various compression methods to optimize target models without causing performance degradation. Integrated with NVIDIA TAO and Qualcomm AI Hub.
• Nota Vision Agent (NVA)A solution that transforms visual data into actionable insights, driving efficiency and safety across industries. It offers real-time monitoring with instant alerts, event summaries and analytical reports, and natural language Q&A and video search. It is tailor-made for any industry and situation, and is powered by a Vision-Language Model (VLM) for context-aware safety insights and detection of exceptional risks without prior training.
• NetsPresso FR SolutionA facial recognition solution.
• On-Device AI SolutionsCommercialized solutions for Intelligent Transportation Systems (ITS), Driver Monitoring Systems (DMS), and Facial Recognition (FR).

Key capabilities

• Automatic model compression
• Software optimization
• Deployment on edge and low-specification devices
• Real-time monitoring with instant alerts
• Event summaries and analytical reports
• Natural language Q&A and video search
• Effortless rule configuration using natural language prompts
• Reliable performance in dynamic environments (changing camera angles, lighting, field conditions)
• Automatic generation of analytical reports
• Context-aware safety insights
• Detection of exceptional risks without training (Vision-Language Model)
• Fast deployment (2-3 weeks)
• Scalable integration with existing CCTV and video systems
• High detection accuracy
• Understanding full context of actions and situations
• Detection of over 50 types of safety risks
• Autonomous detection of unusual or evolving risk patterns (generative AI)

Use cases

• Intelligent transportation monitoring system
• Driver monitoring system
• Facial recognition
• Industrial safety management
• Worker safety management (PPE usage detection, abnormal behavior detection, worker location and access to hazardous areas)
• Workplace safety management (automated detection of abnormal events like fire, smoke, gas leaks; monitoring of specific areas; heavy equipment collision prevention; abnormal situation detection)
• Security and surveillance

AI approach

Nota AI focuses on compressed AI solutions and software optimization, particularly for computer vision models to be deployed on edge and low-specification devices. Their NetsPresso platform automatically compresses models without performance degradation. They also offer Nota Vision Agent (NVA), which uses a Vision-Language Model (VLM) for real-time monitoring, event detection, and natural language Q&A for industrial safety and other applications. They build their own models and integrate with various semiconductor providers.

Tech named: machine learning, deep learning, artificial intelligence, model compression, mobile deep learning, computer vision, Vision-Language Model (VLM), Generative AI

Industries served

• IT Services and IT Consulting
• Industrial
• Transportation
• Automotive
• Mobile

What it says sets it apart

• Compressed AI solutions for on-device deployment
• Automatic model compression without performance degradation
• Resolves issues related to cloud/server-based AI (limited network, excessive cost, privacy breach)
• Vision-Language Model (VLM) for context-aware understanding and risk detection without prior training
• Rapid deployment (2-3 weeks) compared to traditional CV models
• Plug-and-play 'Gen AI Box' for integration with existing video management systems
• Detects over 50 types of safety risks and autonomously identifies evolving risk patterns
• Global collaboration for unlocking AI possibilities

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.