
Foundation models on enterprise transaction data.
Lyon builds private foundation models for banks, insurance companies, and fintechs. Each model learns from the company’s proprietary transactions, payments, clicks, and customer interactions to predict credit, fraud, collections, income, churn, and lifetime value; and runs inside the company’s cloud, so its data and intelligence remain under its control. Lyon is already working with a major insurer and trained a model on 28B transactions for a fintech serving tens of millions of active users, identifying premium-card converters 4x more precisely than its existing rules; the model is now being deployed for credit.
Lyon trains foundation models from scratch on the proprietary event data of banks, insurance companies, and fintechs. Each model learns from a company's own transactions, payments, clicks, and customer interactions, then runs inside that company's cloud on AWS, GCP, or Azure. A single model powers every downstream prediction, from credit risk and fraud to churn, collections, income, and cross-sell, replacing separate feature-engineering projects for each task.
Lyon sells to financial services enterprises through a direct sales motion, deploying inside the customer's own cloud environment so data never leaves their infrastructure.
Custom model training and deployment engagements with banks, insurers, and fintechs.
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