Rayline builds intelligent model routing and governance for coding agents.

Modern engineering teams are rapidly adopting tools like Claude Code, Codex, Cursor, and other agentic development systems — but most coding-agent workloads do not need the most expensive frontier model for every step. Rayline helps teams route each task to the right model across cloud, open-source, and on-device options, reducing token costs by 60–90% while maintaining quality.

Our platform is designed for the way coding agents actually work: multi-step execution, delegated subagents, long context windows, tool calls, tests, retries, and review loops. Instead of treating every request the same, Rayline analyzes agent workflows at the subtask level and routes intelligently based on cost, latency, privacy, and performance needs.

Rayline gives engineering, platform, and FinOps teams the visibility and control they need to scale AI-assisted development responsibly. Teams can connect existing coding agents through an OpenAI- and Anthropic-compatible gateway, apply routing policies, govern model usage, and incorporate private or on-device models where appropriate.

The result: faster, cheaper, more controllable coding-agent infrastructure — without forcing developers to change the tools they already use.

Rayline.ai — intelligent cloud and on-device model routing for coding agents.

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