Conclude from data across multiple documents
A claims or underwriting decision rarely comes from one document. The relevant evidence may be split across policies, forms, images, correspondence, and prior decisions.
Document Intelligence
for Insurance AI
Expert-labeled claim files, underwriting submissions, and workflow evaluations for insurance AI.
Talk to us
Operational priorities
Requirements for Insurance AI Data
The conditions that separate a durable data operation from a one-off labeling project.
Insurance guidelines need explicit evaluation criteria
Coverage rules, underwriting guidelines, referral conditions, and authority limits vary by product and carrier.
Exceptions need traceable human review
Low-confidence cases and decisions outside the model’s authority need specialist review, with the source evidence attached.
Capabilities
What we deliver for insurance teams
Claims
Claims file intelligence
Structure policies, forms, images, and notes as complete claim files.
Underwriting
Underwriting workflows
Label submissions and guideline decisions for risk summaries and referrals.
Review
Fraud & claims review
Evaluate conflicting evidence, suspicious documents, and specialist escalations.
Evaluation
Agent evaluation & oversight
Evaluate claims and underwriting agents – citations, tool actions, and exception routing.
The Loop
From workflow definition to agent evaluation
Turn insurer documents, guidelines, and reviewer decisions into training data, eval sets, and a feedback loop for claims and underwriting agents.
Workflow & rubric
Map the task, source systems, decision rules, required evidence, and escalation conditions with claims or underwriting experts.
Training data
Create representative examples from claim files and submissions, including edge cases, incomplete evidence, and specialist referrals.
Agent evaluation
Test extraction, reasoning, citations, tool actions, and routing against expert-authored rubrics and held-out cases.
Production feedback
Capture failures and reviewer corrections, then add them to the next training and evaluation set.
Customer work
Databricks
OfficeQA: grounded reasoning across complex documents
We partnered with Databricks to build a benchmark from roughly 90,000 pages of real-world documents, with expert-written questions and traceable answers.
One accountable partner
Built for the insurance AI team
Your team owns the insurance workflow. We provide the expert data and evaluations used to train, test, and improve the agents supporting it.
Send us your ugliest files
Explore other industries
Build frontier AI
on better data
Platform, experts, and workflows – unified in one secure infrastructure.