Ohm

Ohm is an AI platform for engineering test labs that brings test data management, analysis, monitoring, and reporting into a single collaborative workspace. It ingests and harmonizes multi-modal data streams—including time-series data, Excel files, and documents—into a unified foundation, then applies automated quality checks for outliers and test errors. The platform supports the full test program lifecycle, from connecting raw signals to predicting outcomes, detecting anomalies, and tracing root causes.

Core capabilities include agentic AI analytics for multi-step engineering analyses, root cause analysis with ranked causes and investigation plans, automated workflows, live monitoring with proactive alerts, and reports and dashboards. Ohm is model-agnostic, selecting models across vision, language, and time-series tasks, with an agentic harness that adds domain context, tools, and constraints. Insights and workflows accumulate in a knowledge system over time. The platform targets hardware teams in automotive, aerospace, battery, data center, and wearables industries, and is packaged as an enterprise product with a demo-based introduction rather than self-serve pricing.