Kairos

What is Kairos?

Kairos is an open-source platform for real-time fraud detection and risk decisioning in financial applications. It evaluates events such as sign-ups, logins, orders, payments, and payouts as they occur. The system returns an approval status along with a risk score and the underlying signals from user history, devices, and sessions.

The platform includes built-in workflows, case management queues, and an HTTP API. Developers can integrate it using TypeScript or Python SDKs, a command line interface, or by self-hosting with Docker. All decisions are stored with their supporting data for later review.

Kairos uses a combination of traditional machine learning and a custom decision model called Grayson that processes unstructured data with minimal labeled examples. An agent-first architecture allows coding assistants like Claude Code or Cursor to design experiments, train model variants, and deploy winners automatically.

Kairos features

• Real-time approval, step-up, review, or block decisions with risk scores
• Built-in workflow builder with branching, webhooks, and case queues
• Coding agents design experiments and auto-deploy winning model variants
• Grayson decision model analyzes unstructured data with few labels
• Traditional ML support including logistic regression and XGBoost trees
• TypeScript and Python SDKs with a command line interface
• Self-hostable via Docker with full HTTP API access

Who uses Kairos and for what

• Automatically approve or block fraudulent account registrations during onboarding
• Evaluate payment transactions in real time to prevent chargebacks and unauthorized purchases
• Review suspicious login attempts by analyzing device fingerprints and session history
• Manage high-risk customer support cases through shared queues and resolution tracking
• Test multiple fraud detection models against historical data to improve accuracy over time

Kairos FAQ

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