Nemo
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About
Nemo is an AI-powered search and analytics platform designed for companies developing L2+, L3, and L4 automated vehicles. It addresses the challenge of sifting through petabytes of sensor data (Lidars, cameras, radars, CAN bus) to identify the crucial 5-10% that is truly valuable for R&D. By intelligently finding specific events and traffic scenarios, Nemo provides developers instant access to the right data for algorithm training, product testing, annotation, or simulation. It also significantly reduces storage costs by automating data filtering and tiering, potentially saving up to 85%. Furthermore, Nemo offers scenario distribution and coverage analytics, including heat maps and time-series plots, to provide deeper insights into dataset biases and coverage. The platform uses contextual scene understanding AI to tag metadata across objects, road infrastructure, traffic interactions, vehicle behavior, and environmental factors. It's deployable in cloud, on-premise, or hybrid environments with low compute requirements and full data security.
Platform
Features
• provides scenario distribution and coverage analytics
• full data security and privacy with compliance
• deployable in cloud, on-premise, and hybrid environments
• contextual scene understanding ai scans sensor data
• reduces storage cost by up to 85%
• provides developers instant access to the right data
• finds valuable events and traffic scenarios from driving logs
• search and analytics platform for automated driving sensor data
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