We build custom AI systems for banks, lenders, insurers, and fintech startups , from real-time fraud detection and AI underwriting to claims automation and RAG-powered customer chatbots. Built with LangChain, LangGraph, and PyTorch.
Every system is designed for financial data security, regulatory compliance, and real-time performance.
Real-time transaction monitoring using PyTorch deep learning models trained on your historical data. Detects anomalous patterns, scores fraud risk per transaction, and triggers automatic blocking or review , processing thousands of transactions per second with sub-100ms latency.
LangGraph agents that orchestrate the full underwriting workflow , data collection, credit scoring, income verification, compliance checks, and decision output. Reduces underwriting time from days to minutes while maintaining accuracy and audit trails.
AI-powered claims intake, document extraction, fraud screening, and settlement calculation. LangChain agents process claim documents, extract structured data, cross-reference policy terms, and route claims for approval , reducing manual processing by 70–80%.
End-to-end loan origination automation , from application intake and identity verification to credit decisioning and offer generation. AI agents handle the full pipeline, with human review triggered only for edge cases.
RAG-powered chatbots trained on your product documentation, compliance policies, and FAQs. Customers get instant, accurate answers grounded in your actual content , not generic LLM responses. Built with LangChain and vector search.
Deep learning models for credit risk prediction, customer churn forecasting, revenue prediction, and market trend analysis. Built with PyTorch and deployed via FastAPI for real-time inference in your existing systems.
Financial AI systems have zero tolerance for errors , a false negative in fraud detection costs money, a false positive damages customer trust. We build systems that are accurate, fast, and auditable.
Our fintech AI stack uses PyTorch for predictive models, LangGraph for multi-step financial agents, LangChain for RAG-powered customer systems, and FastAPI for low-latency inference , all deployed on secure, compliant cloud infrastructure.
Sub-100ms fraud scoring on every transaction.
Every AI decision is logged and explainable for compliance.
SOC 2 compliant infrastructure, encrypted data at rest and in transit.
Systems built with financial compliance requirements in mind.
Schedule a free consultation. We will assess your requirements, discuss security and compliance needs, and outline a delivery plan.