AI Company Insurance
Insurance for model behaviour, agentic workflows, data, IP and enterprise AI adoption.
How we advise
We broker for AI product companies, model-enabled SaaS, agentic workflow platforms, infrastructure providers and companies commercialising applied AI. The insurance conversation often needs to cover training data, model output, human oversight, customer reliance, IP, cyber controls and how responsibility is allocated in contracts.
Our ai companies practice is led by brokers who have placed complex programs for clients at every stage — and who hold relationships with the underwriters who can price the risk correctly.
What we typically broker for ai companies clients.
- Technology Errors & Omissions
- Professional Indemnity
- Cyber & Privacy Liability
- AI Liability Endorsements
- Intellectual Property Defence
- Management Liability
Risks the market gets wrong.
Model output and customer reliance
A customer may allege financial loss from inaccurate recommendations, automation, hallucination or failed human-in-the-loop controls.
Training data and IP allegations
Training data, generated content, scraping, licensing and derivative output issues can overlap with IP, media and professional liability.
Vendor and infrastructure dependency
Reliance on model providers, hyperscalers and data processors can create concentrated outage, privacy and contractual exposure.
“Built a coverage narrative around model oversight, cyber controls and customer contracts so underwriters could price the risk with fewer exclusions.”
Let's review your ai companies program.
We'll benchmark your current cover against the market and flag gaps in 30 minutes.
Other specialties
Startups & Scaleups
We design programs that match where you are now and where the cap table says you're going. No oversold cover, no last-minute scrambles before a raise.
Technology & AI
Standard tech wordings weren't written for foundation models, agentic systems or platform-level dependency. Ours are.
SaaS Insurance
SaaS companies need cover that understands subscriptions, implementation work, data, uptime, API dependencies and customer indemnities.
