Weav.ai provides an agentic AI platform for commercial P&C insurers that automates document ingestion, risk classification, and premium audit workflows using configurable knowledge graphs and AI scorecards. The system integrates with core insurance systems via bi‑directional APIs, supports human‑in‑the‑loop validation, and delivers audit‑ready logs for regulatory compliance.
Funding
$5M 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
Commercial property and casualty insurers must process large volumes of heterogeneous documents, manually classify risks, and perform labor‑intensive premium audits and claims handling, leading to slow decision cycles, misclassifications, and elevated loss ratios. Regulatory compliance and auditability are also difficult to maintain when decisions rely on fragmented, undocumented workflows.
Solution
weav.ai delivers an agentic AI platform that equips insurers with dedicated copilots for underwriting, claims, and premium audit operations. The platform’s AI‑driven ingestion engine extracts data from ACORD forms, payroll records, claim filings, and other documents without custom mapping. Industry‑specific knowledge graphs and configurable AI scorecards provide automated risk classification, loss analysis, and compliance checks while preserving a human‑in‑the‑loop review step for critical decisions. Business users can modify scorecards and workflow rules through a no‑code interface, enabling rapid adaptation to market or regulatory changes. Seamless bi‑directional APIs connect the platform to core systems such as Guidewire, policy administration, and external data sources (e.g., Verisk, Nearmap). The solution can be deployed in private cloud or on‑premises and includes full audit trails to satisfy regulatory requirements, thereby improving loss ratios, accelerating time‑to‑quote, and reducing administrative effort.
Target Audience
Primary customers are commercial P&C insurance carriers, managing general agents (MGAs), and reinsurers seeking to automate underwriting, claims processing, and premium audit workflows while maintaining compliance and auditability.
Features
- AI‑powered document ingestion that parses unstructured insurance forms, payroll tax returns, and claim evidence with contextual understanding.
- Pre‑built, configurable knowledge graphs that model business entities, relationships, and regulatory hierarchies across lines of business.
- Dynamic AI scorecards for underwriting appetite, claims severity, fraud detection, and premium audit classification, editable via a no‑code UI.
- Human‑in‑the‑loop (HITL) validation checkpoints that surface low‑confidence outputs for expert review before final decision.
- Bi‑directional integration layer with pre‑configured connectors for Guidewire, policy admin, claims management, and third‑party data providers; custom APIs available.
- Model‑agnostic orchestration supporting commercial LLMs (OpenAI GPT, Anthropic Claude) and open‑source models, with cost‑aware routing.
- Deployable in private cloud or on‑premise environments, meeting SOC 2 Type 2, SAML/SSO, and role‑based access controls.
- Comprehensive audit log that records data lineage, scorecard rationale, and reviewer actions for regulatory compliance.