Data Analytics Enterprise Only

Ohm

Analyze hardware tests, predict outcomes, and investigate failures with AI

Visit official website
PricingEnterprise Only
Starting priceContact sales
Free planUnknown
Free trialYes
APIUnknown
Open sourceNo
DeploymentCloud
Last verifiedJuly 30, 2026
Overview

Tool overview

Ohm is listed under Data Analytics AI tools.

Summary

What is Ohm?

Ohm is an enterprise AI platform for engineering and test laboratories working on complex physical products. It ingests and contextualizes multimodal test data, performs quality checks, predicts outcomes, detects anomalies and drift, supports root-cause investigation, and automates recurring engineering analysis.

Best fit

Best for

Engineering laboratories testing complex hardware and physical products

Audience

Who is it for?

Test engineersBattery and automotive teamsHardware R&D leadersManufacturing quality teams
Recommendation

Decision note

Confirm supported instruments and formats, model providers, validation process, security scope, data residency, deployment, integrations, engineering controls, implementation, support, and current pricing.

Capabilities

Key features

Multimodal engineering-data foundation

Automatic data quality and test checks

Physics-informed anomaly and drift detection

Early outcome prediction with confidence bands

Agentic root-cause investigation

Recurring engineering-analysis workflows

Workflows

Use cases

Analyzing battery and vehicle tests

Predicting experiment outcomes early

Investigating hardware failures

Monitoring manufacturing quality

Strengths

Pros

  • Purpose-built for physical-product engineering
  • Combines data, prediction, and investigation
  • SOC 2 Type II and ISO 27001 stated
Considerations

Cons

  • Pricing requires an introduction
  • Integration is specific to each laboratory
  • Predictions and root causes need engineering validation
Considerations

Limitations

Ohm can miss anomalies, infer incorrect causes, or produce unsafe recommendations. Engineering organizations must validate sensors, units, specifications, confidence, experiment design, access, and every action before changing tests, hardware, manufacturing, or launch decisions.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planUnknown
Free trialYes
Pricing context

Billing options

Custom enterprise agreement

Pricing context

Pricing note

Ohm uses a book-intro enterprise process and does not publish a stable starting amount. No ongoing free plan or formal free trial was confirmed. Scope depends on laboratories, data systems, engineering workflows, users, implementation, validation, and support.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Test equipment

Supplier specifications

Manufacturing databases

Time-series data

Excel files

Engineering documents

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyOhm
Models / versionsOhm AI co-scientists Model-agnostic foundation-model routing
Editions / plansData foundation Test intelligence Agentic AI analytics
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Ohm is an enterprise AI platform for engineering and test laboratories working on complex physical products. It ingests and contextualizes multimodal test data, performs quality checks, predicts outcomes, detects anomalies and drift, supports root-cause investigation, and automates recurring engineering analysis.
Engineering laboratories testing complex hardware and physical products
The listed pricing model for Ohm is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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