Friendly

AI infrastructure for insurance and financial services decisioning

Document Management Growth 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

At a Glance

Founded: 2019
Headquarters: San Francisco, California, USA
Employees: 51-200
Funding: Venture-backed (undisclosed)

Category & Focus

Category: Document Management
Subcategories: AI Document Processing Claims Automation Underwriting Automation Reinsurance Technology
Insurance Verticals: Life & Annuity Health Group Benefits Reinsurance Workers Compensation
Target Customers: Carriers, Reinsurers