ContextLane Information

Most engineering teams are already running on AI. Few have any control over it. Different people use different providers. Expensive models get used by default - even for a summary, a rename, or a one-line answer. Prompts and workflows live in someone's browser history instead of the team's knowledge. Nobody has a clear view of what's being spent, or what's being saved. ContextLane is the customer-hosted AI gateway that fixes this. For every request, it routes to the cheapest model that can do the job - across OpenAI, Anthropic, and Gemini. Simple work drops to fast, inexpensive models. Complex work escalates automatically. Session context is preserved throughout, so switching models never means starting over. The price gap between the cheapest and most capable model can be 75x. Most teams pay premium prices by default. ContextLane routes around that - typical savings run 40-70% on real request mixes, without losing quality. What ships today: — Shared team chat with reusable skills — A developer CLI that runs through the same gateway — Provider policies: ceilings, capability floors, allow-lists — Request-level cost and savings analytics, per user and per provider — Context import from ChatGPT, Claude, or Gemini - no cold start — OpenAI- and Anthropic-compatible endpoints - point existing tools at it directly And critically: it runs inside your infrastructure. We don't collect your prompts. For security-conscious teams, that's not a nice-to-have - it's the reason they can adopt AI at all. We're not selling "another model router." We're building the internal control layer that every company running AI at scale eventually needs: one place for routing, spend, policy, and visibility. Best fit: 10-200 engineers, already using AI, wanting real control instead of "everyone picks whatever model they want." If that's you - let's talk.