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Solva

AI agents for insurance claims automation

Claims Technology Startup Seed
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Overview

Solva is a claims technology platform for insurance carriers that uses domain-specific AI agents to automate claims processing workflows. The platform targets carriers handling complex claims and integrates with existing claims management systems without requiring major infrastructure changes.

The platform automates first notice of loss (FNOL) intake and triage, policy violation extraction, fraud and leakage detection, damage assessment, and reserve analysis. Outputs are backed by verifiable citations drawn from claim and policy documents, producing a full audit trail. The system supports multi-modal FNOL processing and real-time quality assurance audits across both open and closed claim portfolios.

Founded in 2025 and accepted into Y Combinator's Summer 2025 batch, Solva reached USD 245K in annual recurring revenue within 10 weeks of launch. The company raised a USD 500K seed from Y Combinator and is co-founded by operators with backgrounds in European insurtech and neobanking.

Products & Services

Agentic Claim Workflows

AI-driven automation of the end-to-end claims processing cycle, from FNOL intake through estimate review and subrogation flagging.

Key Features

  • Automated FNOL triage and information extraction
  • Policy violation identification with source citations
  • Damage and cause analysis with audit trails

Target Users: Claims adjusters and operations teams at insurance carriers

Real-Time Claim Quality Assurance

Portfolio-wide auditing of open and closed claims to surface compliance gaps, reserve issues, and leakage in real time.

Key Features

  • Audits entire claim portfolios (open and closed)
  • Identifies leakage and reserve discrepancies
  • Data-driven insights backed by source documentation

Target Users: Claims supervisors and QA teams at insurance carriers

Multi-Modal FNOL Processing

Processes FNOL submissions across document, image, and structured data inputs to automate initial claim assessment.

Key Features

  • Multi-modal intake (documents, images, structured data)
  • Automated key information extraction
  • Initial claim assessment automation

Target Users: Claims intake teams at insurance carriers

At a Glance

Founded
2025
Headquarters
San Francisco, California
Employees
11-50
Funding
Seed

Category & Focus

Category
Claims Technology
Subcategories
Claims Automation FNOL Processing Fraud Detection Claims Quality Assurance
Insurance Verticals
P&C Commercial Specialty/E&S
Target Customers
Carriers

Customers

  • 2.1% loss ratio improvement reported by customers
  • 18x faster QA audits vs. manual processes
  • 3x faster claims cycle time for major carriers

Last updated: 2026-06-06