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Documentation Index

Fetch the complete documentation index at: https://redberrylabs.com/docs/llms.txt

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Redberry Labs is an AI insurance platform built for organisations that deploy autonomous agents in products and workflows. This page introduces what Redberry Labs covers, how underwriting works, and how to get your agents evaluated and insured.

How it works

Learn how Redberry Labs evaluates each agent individually and delivers quotes in minutes using algorithmic underwriting.

Coverage overview

Explore the first-party and third-party coverage areas included in an AI agent insurance policy.

Agent risk assessment

See how your agents are scored across five risk dimensions before a policy is issued.

Partners

Find out how AI companies and technology partners work with Redberry Labs.

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Get started

1

Submit your agents

Create an account at app.redberrylabs.com and submit the agents you want to insure. Provide details about each agent’s deployment context, permissions, tools, and the users it serves.
2

Get evaluated

Redberry Labs’ algorithmic underwriting engine assesses each agent across five risk dimensions: Misrepresentation, Operational Failure, Financial Error, Data Exposure, and Regulatory Breach. The evaluation checks permissioning, tool safety, guardrails, and more.
3

Receive your quote

Quotes are delivered in minutes. Each agent is priced individually based on its specific risk profile and then scheduled onto your organisation’s base policy.
4

Deploy with coverage

Once you accept your policy, your agents are covered from day one. The Redberry Labs SDK monitors agent configuration continuously so your coverage stays accurate as your deployments evolve.
Coverage is underwritten at the agent level, not the company level. If you add new agents or change an existing agent’s configuration, submit them for evaluation to keep your policy up to date.