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Qumis

Category: AI in Legal

An attorney-trained AI platform that delivers law firm-grade coverage intelligence for commercial insurance, combining proprietary document processing with multi-stage legal reasoning to analyze policies, identify coverage gaps, and provide citation-backed insights. Qumis was founded in 2023. The company is led by Dan Schuleman. Based in Chicago, United States. Team size: 11-20. Total funding raised: $6.75M. Latest round: Seed ($4.3M, Feb 2026). Key investors include ["MTech Capital","Armory Square Ventures","American Family Ventures","Grand Ventures","Alumni Ventures","BrokerTech Ventures"].

Founded
2023
Headquarters
Chicago, United States
Team size
11-20
Total funding
$6.75M

Value proposition

Automates end-to-end insurance policy analysis with attorney-level precision and citations, reducing manual review time, eliminating errors, and replacing expensive outside counsel work while enabling teams to analyze complex policy towers and coverage positions at scale

Products and solutions

["Cortex AI Engine (proprietary language model trained on insurance law)","Policy Analysis & Comparison Platform","QumisScore (proprietary accuracy scoring system)","Visual Analysis Dashboard","Contract Review Module","Legal Search with Case Law Citations","Prompt Library for Standardized Reviews","Document Vault (Corpus) with Court Records Database"]

Unique value

First attorney-built AI platform specifically designed for insurance coverage intelligence, with the Cortex language model trained to read policies like a seasoned coverage attorney—understanding how exclusions carve back coverage, how endorsements modify terms, and how definitions ripple across hundreds of pages. Combines proprietary document processing (handling poor-quality scanned manuscripts) with multi-stage legal reasoning trained on thousands of real-world coverage analyses.

Target customer

Large commercial insurance brokers, property & casualty carriers, specialty insurance carriers, and coverage-focused law firms handling complex policy analysis and claims

Industries served

["Commercial Insurance","Property & Casualty Insurance","Insurance Brokerage","Legal Technology","Insurtech"]

Technology advantage

Proprietary 'Cortex' language model specifically trained on insurance law and policy interpretation, combined with a 'Corpus' database of public court records for citation-backed analysis. Platform delivers coverage-expert-level analysis at scale with full reasoning and citations, enabling users to compare quotes, binders, and endorsements across markets; analyze complex policy towers; support claims coverage positions; and surface market trends—capabilities that previously required both outside counsel and dedicated data operations teams.

How they differentiate

First and only attorney-trained AI platform specifically designed for commercial insurance coverage intelligence, featuring a proprietary 'Cortex' language model trained on insurance law and policy interpretation. Unlike general insurance knowledge management platforms, Qumis combines proprietary document processing with multi-stage legal reasoning trained on thousands of real-world coverage analyses, providing citation-backed insights and coverage-expert-level analysis at scale.

Main competitors

["ProNavigator","Chisel AI","Groundspeed"]

Key partnerships

["NFP (an Aon company) - expanded from initial team to hundreds of users across organization","Five of the 15 largest U.S. insurance brokers (unnamed)","Leading specialty insurance carriers","Top insurance-focused law firms"]

Notable customers

["NFP (an Aon company)","Brown & Brown","Five of the 15 largest U.S. insurance brokers","Leading specialty carriers","Top insurance-focused law firms"]

Major milestones

["NFP partnership deployment across P&C and claims operations (August 2025)","Major platform update with Legal Search, Prompt Library, and Visual Analysis features (May 2025)","Oversubscribed $4.3M seed round led by MTech Capital (February 2026)","Achieved adoption by five of the 15 largest U.S. insurance brokers","SOC 2 Type I certification for enterprise-grade security"]

Growth metrics

Platform trusted by five of the 15 largest U.S. insurance brokers; NFP expanded from initial pilot team to hundreds of users across the organization within 6 months

Market positioning

Specialized enterprise AI platform targeting large commercial insurance brokers, specialty carriers, and coverage-focused law firms. Positioned as a premium legal-grade AI solution that replaces expensive outside counsel work and enables complex policy analysis that previously required dedicated data operations teams.

Geographic focus

United States (Chicago-based), with adoption concentrated among top U.S. insurance brokers and carriers

Patents and IP

No registered patents publicly disclosed as of February 2026

About Dan Schuleman

Insurance coverage attorney turned technology entrepreneur. Former Associate General Counsel at Kin Insurance supporting executive team on growth and compliance matters. Previously worked at several law firms advising global insurance companies on complex claims and risks. Deep expertise in high-growth startups, insurance law, policy analysis, and extensive experience in AI and launching/scaling digital products and teams. Northwestern University graduate.

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