National Security

Physical AI Data for National Security and Critical Sites

Substations, ports, and water plants are large, remote, and thinly staffed, which is where robots help most. The data that trains those robots is sensitive in itself, so we decide how it's handled before we capture it.

Data collection for perimeter and patrol robots, infrastructure inspection, small-drone detection, hazardous-area response robots, and facility digital twins. Protective use only.

National security: what makes the data hard Site accessSovereigntyRare threatsBystander privacyWeatherHazardous areas Illustrative data-difficulty profile, scale 1 to 5

What is Physical AI data for national security?

Physical AI data for national security is the capture of sensor data and demonstrations that train robots and autonomous sensing systems to protect and maintain critical sites: substations, ports, water plants, transport hubs, and government facilities. It covers patrol and inspection robots, detection of small drones near sensitive sites, and teleoperated robots for hazardous areas, under strict rules on where data lives and who can touch it.

The scope is broad. CISA defines 16 critical infrastructure sectors, from energy and water to transportation and communications, whose disruption would affect national security, the economy, or public safety. Many are large, remote, and thinly staffed, which is where robots help most.

The threat picture is changing too. The Defense Innovation Unit's second Replicator iteration focuses on countering small uncrewed aerial systems around critical installations. Detecting a small drone against birds, clutter, and weather is a data problem first.

How this differs from our defense work

Our defense page covers military autonomy programs. This page is for civil and homeland programs: infrastructure operators, public agencies, and the companies that build robots and sensing systems for them. The common thread is protective, non-weapons use.

ApplicationWhat the system must learnData we collectServices
Perimeter and patrol robotssubstations, ports, data centersPeople, vehicles, and fence damage vs animals, shadows, and weatherCamera, thermal, and LiDAR patrol runs across day, night, and seasonsMultimodal, LiDAR, edge case
Infrastructure inspectionsubstations, bridges, pipelinesCorrosion, damage, thermal anomalies, change over timeRepeatable drone, crawler, and ground scans registered to control pointsPoint cloud, aerial
Small-drone detection dataSmall drones vs birds, clutter, and sky conditionsCamera and thermal capture of cooperative drone flights in varied backgroundsMultimodal, edge case
Hazardous-area response robotsManipulation and inspection in spaces unsafe for peopleTeleoperated demonstrations in training facilities with representative propsTeleop, multimodal
Facility digital twinsAccurate geometry for planning and robot localizationLiDAR and aerial surveys under site access agreementsLiDAR, aerial

Sovereign Capture: rules for data about critical sites

Gamasome framework

Data about a critical site is sensitive in itself. A detailed scan of a substation is useful to its operator and to anyone who wants to disrupt it. Sovereign Capture sets the rules for that data before we collect it.

The most secure data about a critical site is the data nobody captured unnecessarily.

  • Ownership and residency

    The client owns the data. Where it's stored, and whether it can leave the site or the country, is fixed in writing before capture.

  • Minimal capture

    We record only what the model needs. Views of control rooms, access codes, and layouts outside scope are excluded by plan.

  • Vetted people and access

    Personnel requirements, escorts, and site inductions follow the operator's rules, confirmed during scoping.

  • Bystander privacy

    Employees, contractors, and the public are blurred or excluded unless the program has a documented basis to keep them.

  • Protective-use review

    Every program is reviewed for protective, non-weapons use before it starts.

TeleopMultimodalLiDARPoint cloudEdge caseAerialPerimeter and patrol robotsInfrastructure inspectionSmall-drone detection dataHazardous-area response robotsFacility digital twinsprimarysupporting
National security applications mapped to our collection services.

What a substation patrol program looks like

Composite scenario: autonomous substation patrol robot (details generalized)

Situation
A utility is piloting a patrol robot at remote substations to spot intrusions and equipment faults.
Problem
The robot raised too many false alarms at night, triggered by animals, blowing debris, and heat shimmer on the thermal camera.
Solution
Night and seasonal patrol runs with camera, thermal, and LiDAR at three substations, staged intrusion scenarios with authorized actors, and every alarm-like event tagged by cause, with data stored under the utility's residency rules.
Outcome
A model trained to tell a person at the fence from a deer, and a held-out site to confirm false alarms dropped before wider rollout.

For the security operations team, fewer false alarms is the whole point. Nobody trusts a patrol robot that cries wolf every night.

Common mistakes in critical-site data programs

Capturing everything on site

Broad capture creates sensitive data nobody needs. Plan scope tightly and exclude the rest.

Daytime-only patrol data

Most intrusions and false alarms happen at night. Night coverage is the core of the dataset.

Detection data with no hard negatives

A drone detector trained without birds, kites, and insects near the lens will alarm constantly.

Leaving residency to the vendor

Where data lives should be the client's decision, written down before collection starts.

Aerial capture follows our drone data collection approach, including flight rules and privacy handling. Evaluation suites for detection and patrol systems run through validation and testing.

National security data FAQs

What is Physical AI data for national security?

It's the capture of sensor data and demonstrations that train robots and sensing systems to protect and maintain critical sites such as substations, ports, water plants, and transport hubs, including patrol, inspection, drone detection, and hazardous-area robots.

How is this different from your defense work?

Defense covers military autonomy programs. National security covers civil and homeland programs for infrastructure operators and agencies. Both are limited to protective, non-weapons use.

Who owns the data collected at our site?

The client does. Storage location, residency, access, and retention are agreed in writing before capture begins.

Can you collect data for small-drone detection?

Yes. We capture camera and thermal data of cooperative drone flights against varied skies and backgrounds, along with hard negatives such as birds and clutter, following local flight rules.

How do you protect employee and public privacy?

Capture is scoped to what the model needs, and people are blurred or excluded unless the program has a documented reason to keep them.

Can you meet our personnel and site access requirements?

We confirm personnel, escort, and induction requirements during scoping and tell you up front what we can support.

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