Frequently asked questions

Nominal is the hardware intelligence platform. It brings telemetry, logs, video, simulation and engineering workflows together, giving teams the context to understand their hardware and make better decisions across development, testing, manufacturing, and operations.

Nominal serves teams across aerospace, defense, automotive, robotics, maritime, manufacturing, energy and beyond, wherever complex hardware is being designed, built and operated.

Nominal was founded by Cameron McCord, Bryce Strauss and Jason Hoch, engineers and operators with experience across the Navy, defense, and enterprise software.

Nominal is backed by leading investors including Sequoia, General Catalyst, Lux Capital, Founders Fund, Lightspeed Venture Partners, and Insight Partners.

We have offices in Los Angeles, New York, Austin, Seattle, Washington, D.C. and London.

Yes! We’re always looking for exceptional engineers, designers and operators to help build the intelligence platform for hardware. Explore our open roles on the Careers page.

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 is available today in preview for engineers building on Nominal, and engineers are already using it.

Your hardware, runs, signals, analyses, and checks in Nominal, plus the specs, datasheets, test plans, CAD models, and test video your team keeps there.

Analyst acts with your permissions. It can only see and edit what you allow it to.

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.

Yes. You can inspect the calculations, code, and sources behind every analysis, edit the results in Nominal, or ask Analyst to refine them.

Your data is not currently used to train models, but we do keep traces and product analytics to improve the product.

Request a demo to see Analyst with the Nominal team. Already on Nominal? Ask your account team about preview access.

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.

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.

Full-rate vehicle telemetry, video, spatial data, logs, and PDF attachments, aligned on one timeline with computed events and weather for each flight.

Yes. Pull matching test points from every historical flight, calculate statistics for windows with similar input conditions, and trend metrics test over test.

Yes. Streaming checklists validate behavior during the flight, so the team knows whether a test point is good before the aircraft lands.

In Nominal's cloud, in your VPC, on premises, or fully air-gapped. Access controls and audit trails come built in wherever the data lives.

Yes. Nominal's software is designed for secure information handling in classified environments.

Yes. Vendors and government teams share test results in one secure view, so teams can close review cycles faster.

Telemetry, video, logs, and simulation outputs, live and historical, in one environment that engineers and operators share.

Yes. Nominal runs at the edge with local monitoring and automated checks, so remote assets keep running without full-time staff on site.

Yes. Nominal streams high-rate data live with automated safety checks, and keeps every reading for long-term comparison.

Yes. Track metrics across hardware iterations and flag out-of-family behavior against historical baselines.

Yes. Nominal runs on site, in secure facilities, air-gapped, or at remote locations, with role-based access and audit logging built in.

Yes. Operators can annotate in the field, including live audio-transcribed notes, and those annotations sit on the same timeline as video, logs, and telemetry.

Yes. Define checks once, such as whether the vehicle detected an obstacle or braked in time, and Nominal runs them on every mission.

Yes. Compare performance across vehicles in the same environment and correlate failures across days, terrain, and configurations.

Yes. Search annotated runs across robots, missions, and tasks to build and track training sets.

Data lands in one catalog as soon as a vehicle surfaces, and automated checks run right away. VATN went from hours to under five minutes between surfacing and validation.

Yes. Every vessel has a living record, and you can compare propulsion efficiency, navigation drift, and payload reliability across the fleet.

Yes. Automated checks and reports replace manual spreadsheet merges, and every report stays linked to the data behind it.

Yes. Define subsystem health checks once and run them across individual satellites, clusters, or satellite and ground-station pairs.

Yes. The same environment covers ground testing and space operations, so teams can compare on-orbit behavior with what they saw before launch.

Yes. Nominal unifies sensor, production, and asset data from legacy databases, spreadsheets, and vendor tools into one searchable record across sites and years of operation.

Yes. Fleet-wide monitoring covers every site at once, with alerts that combine sensors, weather, and calculated metrics instead of simple thresholds.

Anomaly detection flags drift, efficiency drops, and unusual patterns, and degradation tracking compares each asset against its own historical baseline.

Yes. Integrated notifications push alerts to your team's communication platforms.

Yes. OEM and TLE ephemeris, bus and payload telemetry, and ground-station diagnostics land on one synchronized timeline, from a single satellite to a full constellation.