Skip to content
Lyon logo

Lyon

Lyon is a YC Fall 2026 (F26) company. Based in San Francisco, CA, USA. Team of 2.

  • Machine Learning
  • Finance
  • Data Science
  • Big Data

About Lyon

GPAgent's own fund-neutral profile, written from public information. Updated Sep 26, 2026.

Summary

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.

Business model

Custom model training and deployment engagements with banks, insurers, and fintechs.

Go-to-market

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.

From the Y Combinator listing

How Lyon describes itself in Y Combinator's public directory.

Foundation models on enterprise event data.

Lyon builds private foundation models for banks, fintechs, funds, brokers and payments companies, turning their own data into better predictions. These models apply the transformer technology behind large language models to transaction histories, loan records and customer activity. They learn relationships across events and over time that manually engineered features can miss, producing richer signals for existing models and new applications. The same model can support fraud detection, credit default prediction, loss given default estimation and product recommendations. Lyon develops and deploys each institution’s model, with software to keep it current and integrate its predictions into existing systems. At a consumer fintech with tens of millions of users, a Lyon model trained on tens of billions of transactions delivered a 112% relative improvement in default prediction PR-AUC over the fintech’s existing tree-based model.

Facts

Industry
B2B / B2B -> Analytics
Location
San Francisco, CA, USA
Team size
2
Status
Active
Stage
Early

Founders (1)

Score every batch against your own thesis

GPAgent's sourcing agent reads every company in a batch, scores each one against your fund's thesis in a private workspace, and lines up the founders worth meeting before Demo Day. You decide who to contact. Your scores, notes, and pipeline never appear on these pages.

How Accelerator intelligence works