The multi-modal, multi-agent claims adjudication copilot.
Ingest a messy insurance claim — scanned PDF, phone photo, recorded call, policy table — and a 12-agent LangGraph workflow triages it, assesses damage from imagery, verifies coverage against the policy via RAG, scores fraud, and drafts a cited settlement recommendation. Shipped with a CI-gated eval harness and Langfuse tracing.
Claims Queue
Live claims awaiting adjudication. Click a claim to select it →
No claim selected yet
Click a claim card above (look for the START HERE badge) — or build a custom claim below — then hit Run Pipeline to watch the 9 agents work.
Build Your Own Claim
Enter your own claim data — narrative, documents, photo descriptions — and run the pipeline on it.
System Design
Production-grade patterns: not an API wrapper — orchestration, RAG, multimodal, eval, LLMOps.
- ▸LangGraph state machine with typed shared state channel
- ▸Supervisor + worker topology with parallel fan-out
- ▸Conditional edges (LOB + severity → path)
- ▸Human-in-the-loop interrupts (LangGraph checkpoint)
- ▸Per-agent retry + circuit breakers
- ▸Hybrid: pgvector dense (bge-m3) + BM25 sparse
- ▸Reciprocal rank fusion
- ▸Cross-encoder re-ranking (Text Ranking) — top 20 → top 5
- ▸Hierarchical chunking + parent-doc retrieval
- ▸Metadata-filtered semantic search (policy#, state, LOB)
- ▸Image Classification (severity) + Object Detection (components)
- ▸Image Segmentation → damage-area % → cost estimate
- ▸Zero-Shot Image Classification (LOB routing at inference)
- ▸Image Feature Extraction → visual RAG / fraud dedup
- ▸Depth Estimation (drone roof, stretch V2)
- ▸Langfuse tracing — every span, token, cost, prompt version
- ▸Prompt versioning in Git, loaded by version tag
- ▸CI-gated eval harness (Ragas + DeepEval + LLM-judge)
- ▸Model routing: vLLM open models + frontier-for-reasoning (−63% $/claim)
- ▸NeMo Guardrails — PII redaction, schema validation
- ▸Semantic cache (Redis) for repeat policy queries
- FEMA Disaster Declarations — catastrophe flagging
- NOAA / NWS Weather — hail/wind/flood verification
- NHTSA Vehicle API — VIN decode + recall lookup
- openFDA — medical/health-adjacent claims
- USGS Flood Hazard Layer — flood-zone verification
- Synthea — synthetic patient data
- Kaggle fraud datasets — labeled eval corpus
Langfuse: every span, token cost, latency, prompt version traced
Prompts in Git, A/B via feature flag, rollback in seconds
Open models for extraction, frontier for reasoning — −63% $/claim
NeMo: PII redaction (SSN, VIN), output schema validation