Nemo
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About
Nemo is a search and analytics platform specifically designed for companies working on L2+, L3, and L4 automated vehicles. It addresses the challenge of processing petabytes of sensor data, where only a small percentage (5-10%) is truly useful for R&D. Nemo acts like a "Google Search for your sensor data," allowing users to query for specific events and traffic scenarios, such as "all scenarios where a truck made an aggressive cut-in at a highway exit." Its core is a scenario extraction engine that provides developers instant access to the right data, reduces storage costs by up to 85% by automating data filtering and tiering, and offers scenario distribution and coverage analytics like heat maps and frequency plots. Nemo utilizes contextual scene understanding AI to scan sensor data from Lidars, cameras, radars, and CAN bus, extracting metadata across objects, road infrastructure, traffic interactions, vehicle driving behavior, and environmental factors. It's deployable in cloud, on-premise, and hybrid environments with low compute requirements and full data security and privacy.
Platform
Features
• contextual scene understanding ai
• search and analytics for automated driving sensor data
• flexible deployment options (cloud, on-premise, hybrid)
• scans various sensor data inputs (lidars, camera, radars, can bus)
• provides scenario distribution and coverage analytics
• reduces data storage costs significantly
• instant access to relevant sensor data
• identifies valuable events and traffic scenarios
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