Nemo is a search and analytics platform designed for automated driving sensor data, targeting companies working on L2+, L3, and L4 automated vehicles. It processes petabytes of collected data to identify the valuable 5-10% that is useful for research and development (R&D). Nemo features a scenario extraction engine that allows developers to quickly access relevant data without manually reviewing logs, saving time and resources. The tool optimizes data storage costs by automating the filtering of useful events and scenarios, reducing expenses by up to 85%. Additionally, it provides analytics tools such as heat maps and frequency plots for deeper insights into scenario coverage and distribution. The platform supports easy deployment across various IT infrastructures, ensuring high data security and privacy compliance.
• data security and privacy compliance
• scenario extraction engine
• scenario distribution and coverage analytics
• contextual scene understanding ai
• low compute requirements
• deployable in cloud, on-premise and hybrid environments
• storage cost reduction by up to 85%
• automated data filtering
• search for specific driving scenarios
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