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 2022. 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
- 2022
- 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), Certified AI Agents (16 line-of-business specialists at launch: cyber, D&O, marine, workers' comp, etc.), Insurance-native Orchestrator (assembles agent bench for full-program analysis), Qumis Private Compute (dedicated per-session secure compute), 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, Deliverables: branded proposals, coverage checklists, Excel workbooks, hosted interactive dashboards
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, MGAs, TPAs, claims professionals, 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 attorney-trained AI platform for commercial insurance coverage intelligence, now shipping attorney-certified line-of-business AI agents (16 LOBs at launch) that run in parallel via an insurance-native orchestrator on Qumis Private Compute. Unlike general chat/summary tools, delivers finished citation-backed work product (proposals, checklists, coverage opinions) with counsel-reviewed frameworks—not just faster document search.
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, IMA Financial, Kapnick Insurance, Cruser, Mitchell, Novitz, Sanchez, Gaston & Zimet LLP, 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, Launched industry's first attorney-certified AI agents for commercial P&C coverage across 16 lines (July 2026)
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 August 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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Official website: https://qumis.com/