# Friendly > AI infrastructure for insurance and financial services decisioning ## At a glance | Field | Value | | --- | --- | | Category | Document Management | | Type | Solutions Provider | | Region | NA | | Headquarters | San Francisco, California, USA | | Founded | 2019 | | Stage | Growth | | Employees | 51-200 | | Funding | Venture-backed (undisclosed) | ## Overview Friendly is an AI infrastructure platform for insurance and financial services companies, providing machine learning-powered document processing and decisioning tools for carriers, reinsurers, and financial services firms. The platform processes structured and unstructured documents -- medical records, financial statements, and handwritten notes -- transforming them into organized, decision-ready outputs for underwriting and claims workflows. It covers Life, Disability, Health, Annuities, Workers Compensation, and Reinsurance product lines. The platform is delivered as enterprise SaaS and includes capabilities for full-cycle claims adjudication, straight-through processing, fraud detection, and risk identification. Outputs are source-grounded with confidence scoring and full audit trails. Key products include an underwriting module, a claims processing module, and a reinsurance treaty management tool (Omniscient). The system processes up to 7,000 pages per hour with reported 95% accuracy. Friendly was founded in 2019 by Natasha Alexeeva, previously of Amazon Web Services and founder of GoGoHealth. The company counts Swiss Re, Munich Re, and PPS Group Health among its customers. Leadership expanded in 2025 with the addition of a Chief Revenue Officer and a reinsurance treaty specialist. ## Products & services ### Underwriting Module Digitizes and organizes structured and unstructured documents -- including medical records and financial statements -- for life and health underwriting workflows. Automatically surfaces risk factors, detects discrepancies and potential fraud signals, and flags conflicting or synthetic data. **Key features:** - Automated data extraction from complex documents - Fraud signal and discrepancy detection - Risk factor identification and flagging - Accelerated and traditional underwriting workflow support *Target users:* Life and health underwriters at carriers ### Claims Processing Module Supports workers compensation, disability, critical illness, and supplemental benefits claims. Provides intelligent case assessment, risk identification, misrepresentation detection, and next-best-action recommendations to support claims professionals. **Key features:** - Full\-cycle claim auto\-adjudication - Straight\-through processing \(STP\) - Fraud and misrepresentation detection - Chronological case timeline with AI\-powered queries *Target users:* Claims adjusters and managers at carriers and TPAs ### Omniscient \(Treaty Assistant\) Analyzes reinsurance treaties, tracks amendments, extracts key terms and conditions, and enables straight-through processing for treaty management workflows. **Key features:** - Treaty analysis and amendment tracking - Key data extraction and terms comparison - Straight\-through processing for treaty management - Structured output for reinsurance operations *Target users:* Reinsurance operations teams and treaty analysts ## Category & focus - Subcategories: AI Document Processing, Claims Automation, Underwriting Automation, Reinsurance Technology - Insurance verticals: Life & Annuity, Health, Group Benefits, Reinsurance, Workers Compensation - Target customers: Carriers, Reinsurers ## Notable customers - Swiss Re - Munich Re - PPS Group Health ## Links - Website: - Directory profile: - Linkedin: - Press/news: --- *Last updated: 2026\-06\-15*