# FRIENDLY

> AI infrastructure for insurance decisioning \-\- transforming complex documents into structured, auditable insights

## At a glance

| Field | Value |
| --- | --- |
| Category | Document Management |
| Type | Solutions Provider |
| Region | NA |
| Headquarters | San Francisco, California |
| Founded | 2019 |
| Stage | Growth |
| Employees | 11-50 |
| Funding | Bootstrapped |

## Overview

Friendly is an AI document processing platform built for insurance and reinsurance organizations operating in Life, Disability, Health, and Annuities lines. The platform functions as an intelligence layer between raw source documents and downstream decisioning systems, digitizing and organizing structured and unstructured data from medical records, financial documents, handwritten notes, and reinsurance treaties into structured, decision-ready outputs.

The platform delivers extraction at 7,000 pages per hour with a reported 95% accuracy rate, supported by built-in confidence scoring that flags low-confidence outputs for human review. All extracted data points are linked to their originating source documents, providing full audit traceability for underwriting, claims, and reinsurance workflows. Output is multilingual and designed to meet regulatory compliance requirements across North America, UK, and Europe.

Friendly serves enterprise-level insurance and reinsurance organizations including Swiss Re, PPS, and GroupHealth. The company reports 85% efficiency gains when its platform is integrated into existing decisioning workflows.

## Products & services

### Life and Health Underwriting

Digitizes and organizes medical and financial documents for underwriting workflows. The system extracts relevant data points from complex documentation and structures them as decision-ready inputs, including a triage capability that classifies cases by risk level using underwriting manuals.

**Key features:**

- Extraction from medical records, financial documents, and handwritten notes
- Risk triage classification using underwriting manual rules
- Source\-linked outputs with confidence scoring
- Straight\-through processing for new business

*Target users:* Life and health carriers, reinsurers

### Claims Processing

Automates claims analysis across workers compensation, disability, critical illness, and supplemental benefits lines. Supports full-cycle claim auto-adjudication and produces chronological case timelines for adjuster review.

**Key features:**

- Auto\-adjudication for workers comp, disability, and critical illness claims
- Chronological case timeline views for claims analysis
- AI chat assistant for document queries
- Automatic flagging of low\-confidence cases for human review

*Target users:* Carriers, TPAs, reinsurers

### Reinsurance Agreement Analysis

Analyzes reinsurance treaties, extracts key contract terms, and compares data across multiple documents. Designed to accelerate contract review and support compliance workflows.

**Key features:**

- Treaty data extraction and structuring
- Multi\-document comparison across contract terms
- Compliance\-oriented output formatting
- Auditable extraction with source traceability

*Target users:* Reinsurers, cedents

## Category & focus

- Subcategories: AI Data Extraction, OCR, Underwriting Automation, Claims Automation
- Insurance verticals: Life & Annuity, Health, Group Benefits, Reinsurance, Workers Compensation
- Target customers: Carriers, Reinsurers, TPAs

## Notable customers

- Swiss Re
- PPS
- GroupHealth

## Links

- Website: <https://www.friendlycares.com>
- Directory profile: <https://insurtechlist.com/companies/friendly/>
- Linkedin: <https://www.linkedin.com/company/friendly-health-technologies>

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*Last updated: 2026\-05\-12*