What is Credyt?
Credyt is a real-time monetization infrastructure purpose-built for AI businesses. It solves the critical challenge of aligning revenue with the variable costs of AI inference. Unlike traditional SaaS, every API call incurs a real cost, and without proper metering, you risk scaling losses while calling it growth. Credyt provides a comprehensive framework to observe, control, and monetize AI usage across any pricing model.
**Observe:** Gain real-time cost streaming for every API call, model, and customer. Know exactly what each user costs you as it happens, not at month-end. Spot anomalies and see profitability at the customer level instantly. This visibility prevents your biggest customer from becoming your biggest loss.
**Control:** Set hard budget ceilings per customer, agent, or team. Credyt checks the balance before usage is authorized, blocking actions if funds are insufficient. No threshold overruns or surprise invoices. This proactive control eliminates financial risk and ensures you never finance your users' AI consumption.
**Monetize:** Support any pricing model—usage-based, subscription, hybrid, credits, tokens, or entitlements. Design your pricing in the dashboard and refine it without touching code. Add billing with a single prompt. Connect any AI tool that supports the MCP protocol for seamless integration.
Credyt is built by a team from Visa, Checkout.com, TrueLayer, and SumUp—experts who have built monetization infrastructure at scale. They know exactly where it breaks and built Credyt so you don't have to find out. Whether you're a startup or an enterprise, Credyt gives you the economic framework to run your AI business profitably, from first inference cost to full governance.
Use Cases
Key Features
real time cost streaming per customer profitability anomaly detection hard budget ceilings pre authorization checks usage based pricing hybrid pricing credit management token management entitlement managementWho is it for?
AI businesses, SaaS companies, product managers, finance teams, engineering teams, customer success teams, CTOs, CFOs
