Machine Learning Startup Insurance: Coverage and Providers

Tech E&O: when your product costs a customer money

Technology Errors and Omissions insurance addresses covered claims that your technology products or services caused a customer financial loss. Think of an integration error or a faulty calculation a client relied on. It is different from coverage for damage to your own equipment or a breach of customer data.

For an ML business, ask whether the proposed policy addresses your model's actual use. A prediction that causes a customer loss, a discriminatory recommendation and a dispute over training data can raise different coverage questions. Don't assume that all three fall within a standard software policy.

Cyber: when data or systems are compromised

Cyber Liability addresses covered security and privacy claims. For an ML company, that can matter when customer prompts, training datasets or other sensitive information are exposed.

Separate liability to other people from your own response costs. Corgi's published Cyber summary describes a third-party liability base form; breach response, ransomware and business interruption protections require the relevant endorsements. Review those components in your quote if your business needs them.

D&O: when a claim concerns how the company was run

Directors and Officers insurance focuses on covered management claims against company leaders. Investors or incoming board members may ask for it during a financing. It doesn't replace Tech E&O for a product-performance dispute.

General Liability: when the risk is physical

Commercial General Liability addresses covered bodily injury, property damage and certain personal or advertising injury claims. A landlord or customer may require it. It isn't a substitute for insuring the financial harm your model could cause.

As you hire and grow, review EPLI, Media Liability and Fiduciary Liability where relevant. The trigger is a change in your operations, contracts or benefits—not just the label on your latest funding round.

Start with three questions:

Our AI and Algorithmic Liability endorsement offers selectable modules for risks such as algorithmic bias, hallucination/defamation, training-data misuse and AI intellectual property. Each selected module has its own limit and retention. AI and IP claims are excluded under the standard Tech E&O policy described on that page, so the endorsement and module selections matter.

For copyright or trademark concerns, also ask about the separate infringement endorsement. Our published summary says patent infringement and trade-secret misappropriation remain excluded under that extension. “IP coverage” is too broad a description to use without checking the wording.

For a deeper explanation, read Does Tech E&O Cover AI?.

Describe the product first. Explain whether you train a model, fine-tune one, build on a third-party model or deploy an agent. Include who uses it, what decisions it makes and where a human reviews its work. Flag higher-impact uses such as hiring, lending or healthcare.

Map the data. Identify the data you collect, where it comes from, what is retained and which third parties can access it. Explain whether customer data becomes training data.

Bring the contract. Share the customer's insurance clause and requested limits, along with any material indemnities or performance commitments. Compare each-claim limits, aggregates, retention and defense costs. An insurance policy doesn't automatically cover everything you agree to in an MSA.

Check the selected protection. Make sure the quote identifies the relevant activities and endorsements. If a module you need isn't listed, resolve that before binding.

Review changes before deployment. A new customer sector, a more autonomous agent or a new use of training data can change the risk. Review coverage before the launch rather than waiting for renewal.

We offer AI startup insurance through Corgi, combining the startup policies above with a review of the AI protection your product needs.

Other options include Vouch's AI offering, which describes an AI endorsement through Corix, and Embroker's Tech E&O/Cyber offering. Compare the actual proposals for your company. A provider's AI marketing page or a fast quote isn't enough to establish that your specific risk is covered.

For us, the advantage of Corgi is practical: you can review your product, customer requirements and startup insurance package with one team. Our coverage pages explain the base policies and available extensions, so you have concrete terms to discuss.

Artisan's founder describes turning to Corgi when enterprise customers required higher limits and broader coverage. The company got its coverage quoted, adjusted and bound in two days. That is a useful example of what matters as an ML business grows: matching the insurance to the deal, as well as getting it done.

Does a standard Tech E&O policy cover machine learning?

It depends on the wording and your activities. Check AI exclusions, the definition of technology services and any endorsements. With Corgi's published standard policy, AI-related claims require the appropriate extension and selected modules.

Do we need both Tech E&O and Cyber?

They address different problems: customer financial loss from your work versus covered security and privacy claims. Many ML businesses need to review both. Our Tech E&O versus Cyber guide explains the distinction.

How much does machine learning startup insurance cost?

Get a quote using your actual operations, requested policies, limits and endorsements. An inexpensive software policy without the AI protection you need isn't a useful price comparison. Our cost-by-stage guide can help frame the budget discussion.