Overview
Bevaya is an AI agent platform purpose-built for insurance, serving P&C carriers, brokers, and third-party administrators (TPAs). Launched in May 2026 as the successor brand to Roots Automation, the platform enables organizations to design, deploy, and govern agentic AI workflows across underwriting, claims, and policy servicing operations.
The platform is powered by InsurGPT, an ensemble of specialized AI models trained on more than 300 million proprietary insurance documents. It delivers pre-built agents for core insurance workflows alongside a visual workflow builder, multimodal document processing, and enterprise governance controls including RBAC, SSO/SCIM, and immutable audit logs. Deployments integrate natively with Guidewire ClaimCenter, Salesforce Industries, and Duck Creek Claims.
Founded in 2018 by two former AIG executives, the company raised a USD 22.2M Series B in September 2024 led by Harbert Growth Partners. As of that funding round, Bevaya reported 35 named customers including 3 of the Top 5 P&C carriers, 3 of the Top 10 brokers, and 3 of the Top 20 TPAs, and had achieved 100% year-over-year revenue growth in 2024 -- its fourth consecutive year of triple-digit revenue growth.
Products & Services
InsurGPT
The core AI engine powering the Bevaya platform. An ensemble of specialized AI models, each trained on a specific insurance document type, built from a corpus of 300M+ proprietary insurance documents. Delivers 93% accuracy on loss runs, 98.1% accuracy on submissions, and 99.2% straight-through processing on FNOL intake. Average inference latency of 1.4 seconds.
Key Features
- Insurance-specific language understanding across document types
- Multimodal document processing with OCR and classification
- Grounded explainability with highlight-based source citation (X-Ray mode)
Target Users: Insurance carriers, brokers, and TPAs deploying AI agents on insurance workflows
Bevaya AI Agent Library
Over 115 production-ready, pre-built AI agents organized by insurance function -- claims, underwriting, and policy servicing. Agents are configured via a visual Workflow Canvas and can be deployed without engineering support.
Key Features
- Claims agents: FNOL/FROI Setup, Claim Indexing, Claim-to-Policy Comparison, Legal Demands Extraction, Medical Bills Extraction, Invoice Payment Processing, File Summarization
- Underwriting agents: Submission Intake, Loss Run Processing, Exposure Schedule Extraction, ACORD Form Extraction, Policy Renewal Handling, Policy Comparison
- Policy servicing agents: Endorsement Processing, COI Creation, Premium Audit Processing
Target Users: Claims, underwriting, and operations teams at carriers, brokers, and TPAs
Workflow Canvas
Visual workflow builder and production runtime for assembling, configuring, and deploying agent workflows without engineering support.
Key Features
- No-code agent orchestration and configuration
- Production monitoring and governance controls
- Human-in-the-loop review and exception routing
Target Users: Operations and IT teams at insurance organizations
Document Intelligence
Multimodal document processing engine supporting OCR, document classification, and multi-document workflows. Ingests documents via Outlook email, SFTP mailroom, and custom API connections.
Key Features
- OCR with layout-aware extraction
- Automatic document classification and routing
- Support for structured and unstructured insurance documents
Target Users: Claims and underwriting operations staff
At a Glance
- Founded
- 2018
- Headquarters
- New York, NY, USA
- Employees
- 51-200
- Funding
- Series B
Category & Focus
- Category
- Claims Technology
- Subcategories
- AI Agents Document Intelligence Underwriting Automation Policy Servicing Automation
- Insurance Verticals
- P&C Commercial P&C Personal Specialty/E&S Workers Compensation
- Target Customers
- Carriers, Brokers, TPAs
Customers
- Eastern Alliance (claims indexing)
- Fortune 500 P&C Carrier (99% straight-through processing, 246% ROI in 6 months)
- Workers Compensation Insurer (74 NPS)
- Top-5 National Broker
Links
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Last updated: 2026-06-13