Koop secures and insures mission-critical operations across AI, Robotics, Defense, and other frontier industries. Trusted by 300+ enterprises.
New Jersey, USA
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Robot risk – nobody had ever put real numbers on that. So we did.
Today we're publishing IN BOTS WE TRUST 2026 — the first report on Physical AI risk built from money that actually changed hands: five years of insurance quotes, policies, claims and underwriting decisions across 392 U.S. robotics companies.
What five years of underwriting robots says:
🏅 Robots are a top-1% insurance risk. Every policy year, the program's loss ratio beat the best of the 25 largest U.S. P&C insurers.
💵 The biggest losses came from systems, not individual robots. Cyber fraud against robotics companies accounts for 34% of loss dollars. Robots hurting the public: 12%.
⬇️ Trust got cheaper. The price of robot liability per dollar of revenue fell 69% in three years.
⬆️ Capacity grew 7x. $572M of liability capacity deployed for Physical AI in 2025.
🤖 Safety already pays, and almost nobody shows it. Companies that prove their controls pay 25–65% less.
Robots get deployed where they are trusted. For the first time, that trust has a price, a trend and a map.
Get a free copy today. Link in the comments!
ALT What five years of underwriting Physical AI says about the promise and risk of robots. Hundreds of thousands of data points from 392 robotics companies — the first report on robot risk built from money that actually changed hands.
Made with AI
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Robot risk – nobody had ever put real numbers on that. So we did.
Today we're publishing IN BOTS WE TRUST 2026 — the first report on Physical AI risk built from money that actually changed hands: five years of insurance quotes, policies, claims and underwriting decisions across 392 U.S. robotics companies.
What five years of underwriting robots says:
🏅 Robots are a top-1% insurance risk. Every policy year, the program's loss ratio beat the best of the 25 largest U.S. P&C insurers.
💵 The biggest losses came from systems, not individual robots. Cyber fraud against robotics companies accounts for 34% of loss dollars. Robots hurting the public: 12%.
⬇️ Trust got cheaper. The price of robot liability per dollar of revenue fell 69% in three years.
⬆️ Capacity grew 7x. $572M of liability capacity deployed for Physical AI in 2025.
🤖 Safety already pays, and almost nobody shows it. Companies that prove their controls pay 25–65% less.
Robots get deployed where they are trusted. For the first time, that trust has a price, a trend and a map.
Get a free copy today. Link in the comments!
ALT What five years of underwriting Physical AI says about the promise and risk of robots. Hundreds of thousands of data points from 392 robotics companies — the first report on robot risk built from money that actually changed hands.
Made with AI
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Thanks for sharing, @RoboStrategy!
Securing and insuring a billion bots will take an army.
We are ready 🫡
Underwriters and claim files tell two different stories about robot risk.
Underwriters worry most about property damage and robots hitting people while the claims associated to this category are relatively low.
Whereas Cyber barely registers, at 8% of reviews but caused 34% dollars paid in claims.
Insurance is an interesting lens as insurers price risk with their own capital, and claim files record what actually went wrong.
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Koop retweeted
I was invited to recreate the iconic 1995 "Old Glory Insurance" skit from @nbcsnl.
Correction: I invited myself.
Because a 1995 robot insurance commercial desperately needed a 2026 update.
Back then, the joke was that robots were coming for us and nobody would insure against it.
Thirty years later, @koop_ai has helped pioneer the robot insurance category, risk-controlling and insuring roughly a quarter of the U.S. robotics market.
That gave us a front-row seat to something nobody had quantified before: what actually makes a robot risky, and what makes it trustworthy?
Today we're putting the data behind that question out into the world.
IN BOTS WE TRUST 2026 is the culmination of five years of underwriting robots in the real world, and our attempt to give the robotics industry a shared, quantifiable way to build and prove trust. 392 companies. Five years of quotes, policies and claims. Hundreds of thousands of data points. One question: can we trust the robots?
The answer might surprise you.
P.S. More importantly, how did we do with the skit?
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Robot risk – nobody had ever put real numbers on that. So we did.
Today we're publishing IN BOTS WE TRUST 2026 — the first report on Physical AI risk built from money that actually changed hands: five years of insurance quotes, policies, claims and underwriting decisions across 392 U.S. robotics companies.
What five years of underwriting robots says:
🏅 Robots are a top-1% insurance risk. Every policy year, the program's loss ratio beat the best of the 25 largest U.S. P&C insurers.
💵 The biggest losses came from systems, not individual robots. Cyber fraud against robotics companies accounts for 34% of loss dollars. Robots hurting the public: 12%.
⬇️ Trust got cheaper. The price of robot liability per dollar of revenue fell 69% in three years.
⬆️ Capacity grew 7x. $572M of liability capacity deployed for Physical AI in 2025.
🤖 Safety already pays, and almost nobody shows it. Companies that prove their controls pay 25–65% less.
Robots get deployed where they are trusted. For the first time, that trust has a price, a trend and a map.
Get a free copy today. Link in the comments!
ALT What five years of underwriting Physical AI says about the promise and risk of robots. Hundreds of thousands of data points from 392 robotics companies — the first report on robot risk built from money that actually changed hands.
Made with AI
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Link to the report: koop.ai/reports/in-bots-we-t…
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We’re thrilled to welcome @glennkoop as Koop's Chief Technology Officer 🚀
Glenn previously led engineering at Invisible AI, building AI systems deployed at manufacturers including Ford, Nissan, and Toyota to improve safety, efficiency, and production performance.
At Koop, he’ll lead technology strategy and engineering to advance our AI-powered compliance and insurance platform, helping companies across AI, robotics, defense, and other frontier industries secure and insure their mission-critical operations.
Welcome aboard, Glenn!
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CMMC Level 1 is still in effect — despite the recent pause of CMMC Phase 2.
For contractors handling FCI, Level 1 means:
→ 15 security requirements
→ Self-assessment, no C3PAO
→ All requirements must be MET
→ Annual affirmation in SPRS
→ Evidence retained for 6 years
We put together a practical 6-step guide covering everything from scoping to SPRS submission.
Link in comments 👇
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Koop retweeted
Yo mars, tesla just announced the robotaxi network
This is huge
tesla.com/robotaxi/interest
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Never on budget, never on time.
@NASA can be a powerful customer, but its procurement and funding cycles are slow and unpredictable.
This paper explains how startups can navigate that system, especially through SBIR/STTR programs, which can provide faster contracting, follow-on funding, and a clearer path into NASA programs.
Link in comments 👇
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Link to the paper "Tips for Speeding Up NASA's Startup Evaluation Process": cdn.prod.website-files.com/6…
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Field insight: For startups selling into @NASA, ISO 9001 or AS9100D compliance can quickly become table stakes.
But quality and safety compliance are only one part of the procurement puzzle.
How can a startup break into NASA?
Find the right NASA center. Build relationships before the RFP. Enter through SBIR/STTR or partner with a prime contractor.
Paper 1 explains how startups can navigate NASA’s roughly $19B procurement ecosystem.
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A Controlled Unclassified Information (CUI) enclave is a walled-off environment where all your CUI lives, separated from the rest of the business by configuration.
Everything inside faces the full weight of the 110 requirements.
Everything outside, if the wall holds, stays out of scope.
Instead of putting your whole company through Level 2, you scope one controlled zone.
Made with AI
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Learn more about CMMC scoping in our blog post: koop.ai/blog/cmmc-scoping-gu…
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CMMC costs are largely determined before implementation begins and by how you define your assessment scope.
Koop’s new practical guide explains how to:
• Build a defensible CMMC boundary
• Classify the five asset categories
• Avoid common scoping mistakes
• Reduce costs using an enclave
Check out Koop's new guide on CMMC.
Link in comments!
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Koop is excited to sponsor the 2026 Air Force & Space Force Procurement Conference by @AmDefAlliance in Colorado Springs!
Come say hi, fuel up with coffee, and learn about CMMC/NIST 👋
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