Hey Product Hunt, We built ContextLane because AI usage inside engineering teams is growing fast, but the setup usually becomes messy: - different people use different providers - expensive models get used by default - teams have little visibility into cost per request - admins cannot easily control routing, access and policies ContextLane is a self-hosted AI gateway that sits in front of your providers. It gives teams: - shared chat, skills and developer CLI - routing across OpenAI, Anthropic, Gemini, Qwen, Kimi, Z.ai and more - admin-controlled provider setup and routing policies - request-level visibility into actual cost, baseline cost and savings - customer-hosted runtime, so prompts and provider keys stay in your environment We are looking for feedback from engineering leaders, platform teams, and teams already spending meaningful money on AI. Would love to hear what you would want to control first: provider access, model routing, spend visibility, or team-wide AI workflows?

ContextLane

Self-hosted AI gateway for lower LLM costs

Self-hosted AI gateway for lower LLM costs