The insurance copilot for physical AI

Know what your
policy misses.

Hardsurance connects how your machines operate to the clauses meant to protect them. It shows founders what is covered, what is unclear and what to fix before a claim.

Move your pointer to test the signal
RoboticsDronesData centersSpace systems

One operating record

Insurance that starts with the machine.

Not a generic chatbot. A purpose-built system that connects engineering reality to policy language.

01

Map the system

Connect assets, software, vendors, contracts and operating locations.

02

Read the policy

Turn forms, schedules and endorsements into a structured coverage model.

03

Test the gaps

Compare how the company operates with what the policy actually promises.

04

Run the renewal

Keep evidence, decisions and carrier questions in one live record.

The physical system matters

A small dependency can carry a large loss.

Trace cooling, power, software, operators and vendors to the policy intended to respond.

Explore data centers

Four operating environments

Specific by design.

Each risk model begins with how the hardware is built, deployed and controlled.

The hardware changed

Hardware evolved.
Its insurance schedule didn’t.

From the first shaped stone to orbital infrastructure, machines kept changing. The document meant to protect them often remained a list. Hardsurance turns that gap into a living operating model.

56 seconds

Why physical AI needs an insurance intelligence layer.

01 / Operating intelligence

Every signal has a story.

Follow the operating change to the policy question. Select a signal to inspect its evidence, sample statistics and next action.

H / copilot / operating-mapInteractive sample
Operating signals5 records
Evidence relationships3 review / 2 matched
Select a node to inspect ↗
Sample portfolio80 records checked · 11 flagged for review

02 / Policy intelligence

Turn a question into a test.

Inspect what each copilot checked, what is missing and who needs to act. Select any row to open the test record.

H / copilot / policy-testsIllustrative results
80Records checked
11Flagged for review
5Copilot checks
Evidence firstSelect a test to view its rule and next action

Interactive demonstration with fictional policies and sample statistics. Matched evidence is not a coverage determination. Time estimates are illustrative, not measured customer savings.

Live product simulation

See the reasoning, not just the answer.

Select an operation and watch the agents build an evidence-backed coverage decision.

Hardsurance policy intelligence
Illustrative product simulation
PDF
Atlas Robotics — Product Liability 2026.pdf84 pages · Page 47
47 / 84

Policy endorsement

PL 14 02 §3(b)

Coverage applies to products and completed operations disclosed in the schedule and accepted by the insurer.

Parsing policy language

Coverage comparison

Robotics policy test

Analysing
01Open policy PDF
02Extract clauses and schedules
03Map operating facts
04Compare policy to operation
05Prepare actions and impact
Policy evidence
Products and completed operations endorsement, form PL 14 02
Operating fact
Autonomous inspection robot, customer facility, remote software update v4.8
Intelligence finding
Coverage may not follow a material autonomy change after deployment.
Recommended action
Disclose the update cadence and add affirmative software-trigger language.
Every conclusion remains linked to an operating fact and policy clause.

Field notes

Read the risk before renewal.

All insights ↗
Drones

BVLOS approval is not the same as insurance permission

A practical way to test operational approval, territorial language and pilot requirements before a mission leaves the visual line of sight.

Read note ↗
Data centers

The cooling loop is part of the insurance perimeter

Why dependency mapping matters when facilities, utilities and customer workloads share the same failure path.

Read note ↗
Space

Coverage before launch attachment deserves its own map

Transit, integration and pre-launch testing can sit across different contracts and different policy phases.

Read note ↗

Founder-led risk review

Bring one policy.
Leave with sharper questions.

A focused conversation about one operating scenario, one policy and the gap between them.