We build custom AI systems for insurance companies , from claims processing automation and fraud detection to AI underwriting and RAG-powered customer chatbots. Built with LangChain, LangGraph, and PyTorch.
Every system is designed for accuracy, compliance, and explainability , the non-negotiables in insurance AI.
LangGraph agents that handle the full claims workflow , intake, document extraction, fraud screening, policy matching, settlement calculation, and approval routing. Reduces claims processing time by 60–70% while maintaining accuracy and compliance.
PyTorch models that analyze claim patterns, claimant history, network relationships, and anomalous signals to score each claim for fraud risk. Trained on your historical data, these models catch 2–3x more fraudulent claims than manual review.
LangGraph agents that orchestrate the full underwriting workflow , data collection, risk assessment, compliance checks, premium calculation, and policy generation. Reduces underwriting time from days to hours with full audit trails.
RAG-powered chatbot trained on your policy documentation, coverage details, and FAQs. Customers get instant, accurate answers about their coverage, claims status, and procedures , grounded in their actual policy. Built with LangChain and Qdrant.
NLP pipelines that extract structured data from claim forms, medical reports, police reports, and supporting documents automatically. Uses Hugging Face models fine-tuned on insurance text to identify fields, validate completeness, and flag inconsistencies.
AI systems that monitor regulatory changes, check policy language against compliance requirements, and generate audit-ready reports. Every AI decision includes explainability features and full logging for regulatory review.
Schedule a free consultation. We will assess your workflows, discuss compliance requirements, and outline a delivery plan.