Mindky provides an AI-powered contract analysis platform for insurance brokers, automatically reading, comparing, and verifying insurance policies clause by clause. The platform detects critical coverage gaps and discrepancies across multiple insurer proposals, with every finding sourced to its exact document, article, and page. It generates compliant DDA documentation and integrates with existing tools like Google Drive and Gmail.
Funding
Funding not disclosed
Founders
Product
Problem
Insurance brokers must manually review and compare lengthy general conditions, special conditions, and policies across multiple insurers to identify coverage differences. This process is time-consuming and error-prone, leading to missed exclusions, hidden deductibles, or restrictive sub-limits that can result in inadequate client coverage and professional liability exposure.
Solution
Mindky provides an AI-powered contract analysis platform that automatically reads, compares, and verifies insurance documents clause by clause. The platform aligns clauses across insurers even when terminology, structure, or formatting differs, and flags discrepancies ranked by criticality—from non-coverage risks to financial impact. Every detected difference is sourced with the exact document name, article number, page number, and original text extract, enabling brokers to verify findings instantly. Mindky also generates compliant DDA documentation packages and maintains complete traceability for regulatory audits, allowing brokers to make faster, safer recommendations with full confidence.
Target Audience
Primary users are French insurance brokers and brokerage firms, particularly those handling commercial and corporate property & casualty (IARD) portfolios, who need to compare multi-insurer proposals and ensure regulatory compliance.
Features
- Proprietary clause-matching algorithm that aligns policy terms across insurers despite differing structures and wording
- Automated risk-zone detection for atypical exclusions, hidden forfeitures, and restrictive sub-limits
- Criticality classification of discrepancies (critical, important, minor) to prioritize review efforts
- Source-level citation for every finding, including document name, article number, page number, and exact text extract
- Automatic generation of DDA-compliant documentation packages
- Timestamped and archived comparison history for ACPR audit readiness
- French-hosted infrastructure with encrypted data storage and optional dedicated server deployment
- Integrations with Google Drive, Gmail, OneDrive, and Outlook for seamless document ingestion