# Redberry Labs

> AI liability insurance for autonomous agents and enterprise AI deployments.

Redberry Labs provides insurance built specifically for AI agents — not generic tech E&O or cyber policies adapted for AI. We underwrite at the agent level, assessing each agent's unique risk profile based on its permissions, tools, data access, and failure modes.

## Key Pages

- [Homepage](https://www.redberrylabs.com/): Overview of Redberry Labs and AI agent insurance coverage
- [How It Works](https://www.redberrylabs.com/how-it-works): How we evaluate risk for AI agents — agent-level underwriting, engineering controls assessment, continuous risk monitoring
- [For AI Companies](https://www.redberrylabs.com/for-ai-companies): Partner program — embed insurance alongside your AI product for enterprise customers
- [About](https://www.redberrylabs.com/about): Team, mission, and approach to AI insurance
- [Apply to Partner](https://www.redberrylabs.com/apply-for-partner): Partner application form for AI companies
- [Full LLM Context](https://www.redberrylabs.com/llms-full.txt): Comprehensive company, product, and coverage details

## What We Insure

AI agents and autonomous systems used in enterprise operations — covering operational failures, data exposure, financial errors, misrepresentation, and infrastructure overages.

### First-Party Coverage (your own losses)
- Data/model restoration and retraining
- Business interruption from AI-driven failures
- Incident response and regulatory costs
- Runaway usage and infrastructure overage
- Incorrect funds transfer

### Third-Party Coverage (claims from others)
- Harmful or infringing AI outputs
- Privacy and confidentiality breaches
- Service failure and negligence

## How We Underwrite

We assess risk per agent, not per company. Each agent is evaluated across five dimensions:
1. What it's allowed to do (actions, permissions, tools, transactions)
2. Where it operates (channels, jurisdictions, regulated contexts)
3. What it can access (data sources, customer data, internal systems)
4. How it's controlled (guardrails, approvals, audit logs, human review)
5. How it fails (agent-specific failure modes)

We also evaluate engineering controls: permissioning, tool safety, human-in-the-loop gates, data minimisation, auditability, and model/prompt governance.

## For AI Companies

AI companies partner with Redberry Labs to offer insurance alongside their AI product. This helps enterprise customers deploy autonomous agents with confidence by providing a clear liability framework. Insurance unlocks higher-autonomy deployments where deals typically stall at legal and procurement review.

## Company Details

- Founded by Dr. Sophia Kalanovska (CEO, PhD in AI) and Dr. Charles Higgins (CTO, PhD in AI)
- Team includes Alexander Tsetsenekos (COO, ex-Tesla Insurance VP & GM at LexisNexis), Lindene Patton (Policy & Legal, ex-Zurich SVP), Craig Dunn (CUO, cyber insurance specialist)
- Contact: legal@redberrylabs.com
- LinkedIn: https://www.linkedin.com/company/redberry-labs/