Renumics
Agentic AI platform for engineering teams to search, analyze, and explain large volumes of test, simulation, and fleet sensor data.
What it does
Renumics builds an agentic AI platform called Onion that connects to engineering data sources like MDF, TDMS files, and data lakehouses to let engineers search measurements, detect anomalies, and build interactive evidence reports using natural-language queries. It targets industrial use cases such as test-bench inspection, simulation analysis, production data review, and fleet/operational debugging. The company also offers professional services for engineering data platform migration and custom AI application development, and provides Spotlight, an open-source tool for visualizing unstructured datasets.
Core features
Natural-language search across high-frequency engineering sensor data
Automated anomaly detection in test and simulation data
Interactive, shareable evidence reports/visualizations
Connectors for MDF, TDMS, and lakehouse platforms like Databricks/Fabric
Professional services for data platform and AI application build-out
Open-source Spotlight tool for exploring unstructured datasets
Best for
→Automotive/industrial teams inspecting test bench and vehicle data
→Simulation engineers understanding design decision trade-offs
→Manufacturing teams querying production data with natural language
→Fleet operators debugging incidents from operational data