Specialty MGA · Physical AI

The specialty insurance MGA built for autonomous systems

Physical AI is deploying. The insurance market hasn't formed yet. PolySea writes the risk the standard market is fleeing, priced on engineering controls and live telemetry, not generic occupancy class.

Warehouse roboticsAutonomous truckingDronesHumanoids
$15.6B
AMR market by 2030
6 lines
One coordinated program
Capacity gap by 2030
99.2%
Loss-run extraction accuracy
The platform, in motion

See the live platform work

Telemetry captured at binding, AI claims reporting, and carrier-ready submissions — three surfaces from the underwriting workspace running at app.polysea.ai.

app.polysea.ai
live
R
Active Monitoring
Atlas Fulfillment · AMR / AGV Fleet · Li-Ion banks
Live · ingesting
State of Charge
74%
Charge cycles (30d)
0
Peak cell temp
28.6°C
Within FM DS 7-112
Fleet units active
1,940
62 MWh capacity
Telemetry streamOEM API · real-time
Dynamic pricingre-rating
Annual premium
$312,000
0%
controls credit
Thermal within FM DS 7-1126%
Charge-cycle logging active4%
Telemetry streaming (OEM API)5%
Annual safety audit complete3%
Change fleet Monday — premium adjusts by Friday.

An underwriting framework built on the standards the market already prices to

FM Global DS 7-112NFPA 2ANSI/RIA R15.06OSHA 1910.178(g)ISO Sept 2024 AV/EV
The opportunity

Physical AI is deploying. The insurance market hasn't formed yet.

Today's early-adopter operators are already underserved, and the broad deployment wave is still ahead.

~20%

of North American warehouses have automated. An 80% deployment runway is still ahead.

MHI Annual Industry Report, 2025

83%

of operators plan to buy automation within 5 years; 45% within 3 years.

MHI Annual Industry Report, 2025

~73–79K

AGV and AMR units installed across North America — the deployment curve is in its early innings.

STIQ AGV & AMR Robotics Report, 2025

$15.6B

global AMR market by 2030, up from $4.5B in 2025, a 21% CAGR. Our TAM grows with the deployment cycle.

Mordor + Interact Analysis

What we cover

Built for the segments standard carriers are fleeing.

Physical AI isn't one risk. It's four severity profiles with little dedicated capacity. PolySea writes each on a framework matched to how it actually fails, and a program that scales with the deployment.

Warehouse robotics & automation

AMRs · AGVs · AS/RS · automated DCs · cold storage

Dense automation, lithium-ion battery banks, and charging infrastructure concentrate a severity profile that generic property and GL were never priced for. Sprinklers can't extinguish a Li-Ion thermal runaway, so protection is about containment, and production pressure, not the robots, drives the injuries.

LinesEBIMProperty+BIWCGL
Framework FM Global DS 7-112 · HC-3 density (FM DS 3-26) · OSHA 1910.178

Autonomous trucking

L3+ ADS fleets · long-haul · drayage

Nuclear verdicts have reset the price floor. Benavides v. Tesla put $243M behind the first AV wrongful-death case (now under appeal). Dedicated capacity for autonomous fleets remains scarce exactly where deployment is accelerating.

LinesAutoGL
Framework Class 7219 schedule credit · Benavides-aware reinsurance

Drones & UAS

BVLOS · commercial fleets · inspection · delivery

Commercial drone operations carry hull, high-value sensor payloads (LiDAR, thermal, multispectral), and third-party liability, written today by retreating standard markets with no dedicated specialty MGA model at scale. One coordinated policy across the fleet, not a patchwork.

LinesIMProperty+BIGL
Framework Continuous fleet telemetry · payload scheduling

Humanoids

Bipedal robots · manufacturing · logistics

No insurance class exists yet. PolySea defines it. Humanoids are 100% lithium-ion by energy-density necessity and deploy into vehicle and electronics manufacturing environments where robot-arm litigation (Hinterdobler v. FANUC, $51M) is already live.

LinesGLWCEB
Framework ANSI/RIA R15.06 · FM Global DS 7-112

One coordinated program across all four segments, priced on the engineering controls and telemetry that define each operator's actual exposure.

The moat

Engineering depth no incumbent has assembled

PolySea prices the operation, not the building. It's a compound advantage of engineering controls, live telemetry, and real-time risk notification that carriers can't replicate without rebuilding their systems.

15–30% credits

Engineering-controls underwriting

Four parallel catalogs covering Li-Ion (FM Global DS 7-112), hydrogen (NFPA 2), stationary robots (ANSI/RIA R15.06), and lead-acid (OSHA 1910.178) translate published standards into specific underwriting questions and credit-earning thresholds.

Telemetry-fed data layer

Proprietary operator telemetry captured at policy binding: State of Charge, charging cycles, fleet composition. The same structural moat cyber insurers built on opt-in telemetry, applied to physical AI.

Active Monitoring

We monitor and notify; the operator decides how to act. Telemetry-grounded operational diligence: signals reach the people who can act on them, in time to matter.

Operating-model underwriting

Production pressure is the injury driver, not automation. GXO and Lineage run 2–5× safer than Amazon at comparable automation density. We ask the submission question no incumbent asks.

Two products, two buyers, one underwriter

Landlord property gap-fill and operator coverage feed the same data layer. A cross-discount aligns landlord and tenant. PolySea sits on both sides of the lease, with the cheapest pricing for compliant configurations.

Dynamic exposure adjustment

Operators change fleet composition on Monday and have their premium adjusted by Friday. No standard-market carrier offers this. The platform matches the operational tempo of the operators we underwrite.

The program

Six lines. One coordinated program.

PolySea writes a coordinated program, not fragmented per-line policies, with the same architecture across every line.

WC17–30%

NCCI 8292 / 8293 / 7219 / 3724

Cause-of-loss schedule credit + operating-model filter

EB15–25%

Li-Ion banks, AMR fleets, AS/RS, cyber-triggered

Li-Ion endorsement + SOC pricing + HC-3 engineering credit

IMVariable

Mobile robotic equipment (AMRs in operation)

Manuscripted Robotic Equipment Floater + continuous reporting

Property + BIVariable

Warehouses, automated DCs, cold storage

FM engineering-controls credit + cyber-triggered BI extension

GL10–20%

Third-party BI/PD from autonomous operations

ISO Sept 2024 AV/EV classes + Koop coordination

Auto17–25%

Autonomous trucking fleets (L3+ ADS)

Class 7219 schedule credit + Benavides-aware reinsurance

Line-by-line launch sequence

v0.5 Launch
EB + IM

Li-Ion focus. AXA XL or Accelerant front with Munich Re / HSB reinsurance.

v0.5 Yr 2
+ Property + BI

Same operators, larger TIV. FM engineering credit. Cyber-BI extension.

v0.5 Yr 3
+ WC

After 18–24 mo operating data. Operating-model question matures.

v1
+ GL

After Koop coordination. ISO Sept 2024 AV/EV classes mature.

v1+
+ Commercial Auto

After the reinsurance tower is built. Benavides-aware pricing.

Active Monitoring

Opt-in monitoring, applied to autonomous risk.

Operators opt in to data sharing. They earn additional credit on premium and unlock enhanced coverage sublimits. This is the structural piece that distinguishes PolySea from incumbent specialty carriers.

What operators share

  • Battery telemetry feed
    State of Charge, charging cycle logs, thermal sensor data, cell-level diagnostics.
  • Fleet telemetry
    Real-time composition, utilization rates, downtime events, OEM API integrations.
  • Quarterly battery health reports
    Capacity degradation, replacement schedules, end-of-life planning.
  • Incident notification within 24 hours
    Safety incidents and near-misses reported to PolySea engineering.
  • Annual 30-minute safety audit
    Virtual review of safety-program updates and operational changes.

What operators unlock

CoverageBaselineWith monitoring
Equipment Breakdown limitStandardHigher limits
Business InterruptionStandard periodExtended period
Cyber-physical extensionExcludedIncluded
Battery thermal collateralBaselineEnhanced sublimit
Pre-loss interventionNot includedIncluded

Cyber insurers proved this opt-in architecture at scale. PolySea applies the same model to physical AI: credit and enhanced sublimits in exchange for the telemetry that defines actual exposure.

The platform

We've already built the platform.

PolySea is live at polysea.ai. Insureds, brokers, and the MGA work in one shared workspace, with dynamic exposure adjustment built in.

Operators

Insureds: robotics & autonomous fleets

Dynamic exposure adjustment
Change fleet composition, deployment scale, or controls, and premium adjusts in real time.
AI loss-run extraction
Upload any loss-run PDF; structured claim data in seconds, 10× faster than manual.
SOV & asset management
Schedule-of-Values uploads, bulk updates, value-change tracking.
Coverage transparency
See exactly how operational changes affect your premium and renewal projection.

Operators can change fleet composition on Monday and have their premium adjusted by Friday. No standard-market carrier offers this.

18–36 months

Positioned before the market resets.

When the first nine-figure verdict against a robotics maker lands, capacity reprices: attachment points jump, rates spike, terms tighten. PolySea is built to be in market before that happens: framework defined, telemetry flowing, relationships established.

For carriers

A capacity conversation and intros to forward-thinking underwriters.

For brokers

Introductions to the underwriters in your carrier panel.

For operators

A data-sharing pilot at policy binding to earn credit and enhanced limits.