Introducing Nominal Analyst
The AI agent for people building hardware
Nominal Analyst is an AI agent for engineers building hardware in Nominal. It helps teams ask questions about their data, build editable analyses, and turn test plans into pass/fail checks, with sources and calculations engineers can review.
Analyst in practice
Follow one investigation
A battery pack fails a thermal requirement. Analyst works from the requirement to the sensors and leaves an analysis the team can keep.
01 · Understand
Start with the question that matters
Ask about a result. Analyst brings together the requirement, measurements, and evidence behind it.
AnalystBP-17 thermal investigationBattery pack BP-17Run BP17-054
- Requirement
- Limit
- Result
02 · Check
Check results against the test plan
Analyst reads the requirement in your test plan, stored in Nominal. It turns the limit into a pass/fail check, runs it, and links the result to its source.
AnalystBP-17 thermal investigationBattery pack BP-17Run BP17-054
- Above limit
- Allowed
- THERM-04
03 · Locate
Follow the result to the measurements
Move from an overall result to the signals and physical locations worth examining.
AnalystBP-17 thermal investigationBattery pack BP-17Run BP17-054
- Hottest · T04
- Coolest · T01
- Peak spread
04 · Investigate
Bring context into the investigation
Compare the recorded conditions and identify what additional evidence would help explain the result.
AnalystBP-17 thermal investigationBattery pack BP-17Run BP17-054
- Coolant flow setting
- Inlet temperature
- Coolant flow trace
05 · Act
Leave with a clearer next step
Keep the findings, supporting analysis, and open questions together so your team can continue the investigation.
AnalystBP-17 thermal investigationBattery pack BP-17Run BP17-054
- Runs compared
- Sensors
- Cause
In the hands of engineers
More time for the work that moves hardware forward
“I've saved hours and hours by using Analyst. It's been a huge improvement to our iteration speed.”
Cooper DiamondStaff Systems Engineer“As a new employee it made it very easy to navigate the large dataset and understand which variables were most useful for analyzing certain situations and root causing issues.”
Spencer SharpeFlight Test Engineering Intern
Saved analysis
Keep the evidence and continue the investigation
Analyst saves its work as a workbook you can open and edit. Add the next run, and the evidence stays together for your team.
Capabilities
What can Analyst do?
Find the right data, read the documents, CAD, and video behind it, build an analysis, and check results against your requirements.
Build and edit analyses
Create and update Nominal workbooks with plots, derived signals, tables, and layouts.
Turn test plans into automations
Read specs and test plans in Nominal, define pass/fail checks with thresholds, run them against your data, and review violations.
Compare runs and calculate signals
Overlay runs, apply filters and derivatives, and run frequency analysis such as FFT, PSD, and Bode plots.
Write custom analysis code
Calculate statistics across runs, explore trends across months of hardware data, and create visualizations for questions that need more context.
Read more than telemetry
Read the specs, datasheets, test plans, CAD models, and test video your team keeps in Nominal, and cite the page, part, or frame behind each finding.
Find the right data
Locate runs, hardware, signals, and existing analyses in your Nominal workspace.
Frequently asked questions
What is Nominal Analyst?
Nominal Analyst is an AI agent for engineers building hardware in Nominal. It helps teams ask questions about their data, build editable analyses, and turn test plans into pass/fail checks, with sources and calculations engineers can review.
Is Analyst ready for my team?
Analyst is available today in preview for engineers building on Nominal, and engineers are already using it.
What data can Analyst use?
Your hardware, runs, signals, analyses, and checks in Nominal, plus the specs, datasheets, test plans, CAD models, and test video your team keeps there.
What can Analyst see and change?
Analyst acts with your permissions. It can only see and edit what you allow it to.
Can I customize how Analyst works?
Yes. Write skills that describe your team's analysis methods, review steps, or reporting conventions, and share them across your workspace so everyone's Analyst works the same way.
Can I check its work?
Yes. You can inspect the calculations, code, and sources behind every analysis, edit the results in Nominal, or ask Analyst to refine them.
Is my data used to train models?
Your data is not currently used to train models, but we do keep traces and product analytics to improve the product.
How do I get access?
Request a demo to see Analyst with the Nominal team. Already on Nominal? Ask your account team about preview access.
How is Analyst different from a general-purpose AI assistant?
Analyst works directly with your data and analysis tools inside Nominal. It builds analyses your team can edit, turns test plans into pass/fail checks and runs them, and follows the playbook your team teaches it through skills. Every conclusion traces back to the data or document behind it.
How is Analyst different from connecting my own AI agent to Nominal?
Both work in Nominal with your permissions. Nominal's MCP server gives the agent you already use, like Claude, Codex, or Devin, access to Nominal tools, which might be the right fit when your work spans other systems. Analyst is built for engineering work inside Nominal: it creates workbooks, writes and runs checks, derives signals, and grounds its work in your team's documents and skills.