What changes when your product is a model
A traditional software company ships tools and the customer does the work. An AI company ships the work itself: an agent answers the support ticket, a model approves the transaction, a system writes the code. When that work goes wrong, the customer's loss traces directly to your product's decision, and the claim comes to you.
The contracts make this sharper. Model providers' terms of service push liability downstream to whoever deployed the model. Your customer's agreement is with you, not with the lab that trained the underlying model. Between those two documents, the company in the middle holds the exposure.
None of this means AI companies are uninsurable. The lines that respond are the same ones technology companies have carried for decades. What changes is how much the policy wording matters, because forms written before agents existed are now being asked questions they were never designed to answer.
The core program
Technology errors and omissions, usually called tech E&O, is the anchor. It is the line built to respond when your technology's work causes a customer a financial loss, and a model's output is your technology's work. For an AI company this is the policy that faces the live exposure.
Cyber liability sits beside it, and carriers often sell the two as one combined form. Cyber answers a different claim: your systems breached, customer data exposed, ransomware, and the response costs that follow. An AI product that touches customer data in production needs both parts, and a combined form needs both parts read.
General liability covers bodily injury and damage to other people's property. Software rarely triggers it, but nearly every office lease and customer contract requires a certificate of it, so it arrives early for practical reasons rather than exposure reasons.
Directors and officers coverage protects company leadership when they are sued personally over decisions running the business. Venture-backed companies typically bind it at the first priced round because term sheets require it. For AI companies it carries extra weight: public claims about what your AI can do are statements to investors, and overstated capability claims are an active area for suits and regulator attention.
The AI exclusion problem
Standard technology forms predate all of this, and carriers quote them anyway. Some carriers have begun filing AI-specific exclusions, and they do not announce themselves: an exclusion sits quietly in the policy paper until there is a loss, and then it decides everything.
This is the single most important thing to understand about insuring an AI company in 2026. Two quotes with the same premium and the same limits can behave completely differently at claim time depending on how each form defines professional services, technology products, and whether either mentions machine learning at all. The reading is the work. Every form should be read before anything binds, by someone who knows what an AI exclusion looks like.
What enterprise procurement will ask for
The first time insurance blocks a deal is usually an enterprise security and vendor review. The common asks are tech E&O, cyber, and general liability certificates at stated limits, often between one and five million dollars depending on the contract. Some agreements name additional insureds or require specific endorsements.
The practical advice: have the program placed before the first enterprise deal reaches procurement, so insurance never sits on the critical path of a signature.
When to buy what
Pre-revenue, coverage is usually driven by requirements rather than risk appetite: a lease wants general liability, an accelerator or investor wants D&O. The first customer contract is the natural trigger for tech E&O and cyber, because that is when your product's failure starts having someone to owe.
This page describes coverage in general terms. It is not an offer of insurance, and carrier appetite, policy wording, licensing, and availability govern every quote and every claim.
Common questions
- What insurance does an AI startup need first?
- Tech E&O and cyber anchor the program, because the live exposures are your model's output causing a customer a loss and your systems exposing data. General liability arrives with the first lease or contract that demands a certificate, and D&O arrives with the first priced round.
- Does tech E&O cover claims caused by an AI model's mistake?
- That is the line designed to respond when your technology's work causes a customer financial loss, and model output is your technology's work. Whether a specific policy responds depends on its wording, and some carriers have begun filing AI exclusions, so the form has to be read before it binds.
- How much does insurance cost for an AI startup?
- Premiums are driven by revenue, what the product does, how much customer data it touches, contract requirements, and the limits purchased. A pre-revenue company buying its first program pays far less than one with enterprise contracts demanding five million in limits. Quotes are specific to the company, so published averages mislead more than they help.
- Can an AI company get insurance at all?
- Yes. The lines are standard; the placement work is presenting the product accurately and reading the forms that come back, because carrier appetite for AI risk varies widely and exclusions are appearing in some filings.