Vellum offers an AI‑native platform that automatically ingests, standardizes, and validates insurance data from any source—spreadsheets, PDFs, emails, APIs, and more—creating a single, machine‑readable source of truth. The system applies configurable validations and AI agents to surface anomalies, provide real‑time risk monitoring, and deliver actionable portfolio intelligence, enabling insurers, MGAs, TPAs, and reinsurers to reduce manual effort, avoid errors, and make confident underwriting, claims, and reporting decisions.
Funding
$7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Insurance companies, MGAs, TPAs, and reinsurers struggle with fragmented, inconsistent data that arrives via spreadsheets, PDFs, emails, and APIs, requiring manual cleanup and causing delays, errors, and lack of confidence in reporting and risk assessment.
Solution
Vellum provides an AI-native platform that automatically ingests insurance data from any source, standardizes and validates it, and delivers a clean, machine‑readable single source of truth. The system applies hundreds of configurable validations, corrects inconsistencies, and normalizes records across underwriting, claims, premium, and reinsurance workflows. AI agents continuously monitor the data, surface anomalies, flag emerging risks, and generate real‑time portfolio intelligence without the need for manual SQL queries. An API‑first architecture enables seamless integration with existing CRMs, underwriting tools, claims systems, and financial platforms, embedding trusted data directly into the user’s tech stack. This transforms chaotic inputs into actionable insights, allowing insurers to act quickly, reduce errors, and make confident decisions.
Target Audience
Primary customers are insurance carriers, managing general agents, third‑party administrators, and reinsurers that need reliable, real‑time data for underwriting, claims, finance, and regulatory reporting.
Features
- Automatic ingestion of bordereaux, spreadsheets, PDFs, emails, APIs, databases, and custom feeds
- Hundreds of configurable validations that detect anomalies, correct inconsistencies, and enforce data quality rules
- Standardization into unified, machine‑readable data models for premium, claims, risk exposure, and reinsurance
- AI agents that continuously surface answers, flag issues, and reveal portfolio trends without manual querying
- Real‑time alerts for late feeds, missing tags, guideline violations, and emerging loss patterns
- API‑first integration layer that connects to underwriting, claims, finance, and CRM systems without disruption
- Trusted, expert‑validated data pipelines built on millions of historical insurance records