Qumis provides an attorney‑trained AI platform that interprets insurance policy documents and delivers legal‑grade analysis, clause explanations, and risk assessments through a natural‑language interface. By combining proprietary market intelligence and automated risk scoring, it helps underwriters, claims adjusters, and brokers make faster, more accurate decisions while reducing manual review effort.
Funding
Funding not disclosed
Founders
Product
Problem
Insurance professionals often spend excessive time deciphering dense policy language and assessing complex risk exposures, leading to slower decision‑making and higher operational costs.
Solution
Qumis offers an attorney‑trained artificial intelligence platform that interprets policy documents and delivers legal‑grade analysis combined with proprietary market intelligence. Users can ask natural‑language questions about coverage terms, and the system returns clear explanations, clause relevance, and risk assessments. The AI continuously incorporates up‑to‑date industry data, enabling faster, more accurate underwriting, claims handling, and risk modeling. By automating the interpretation process, Qumis reduces manual review effort and helps insurers make informed decisions at scale.
Target Audience
Primary customers are underwriters, claims adjusters, and insurance brokers who need rapid, accurate policy interpretation and risk insights.
Features
- Attorney‑trained large language model tuned on insurance policies and case law for precise legal reasoning
- Natural‑language query interface that extracts and explains specific policy clauses and coverage limits
- Integrated market intelligence layer providing benchmark pricing, loss trends, and competitor insights
- Automated risk scoring and scenario analysis based on policy terms and historical data
- API and UI integrations for underwriting, claims, and broker workflows
- Continuous learning pipeline that updates the knowledge base with new regulations and industry developments