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Compress by LightReach cuts LLM costs by combining lossless prompt compression with intelligent model routing. Instead of just sending prompts to one provider, it compresses repeated context, chooses the cheapest model that still meets your quality target, and works through an OpenAI-compatible API. Teams also get visibility into savings, budgets, and usage by team or feature.
Compress By Light ReachAI is a commodity. Your bill should reflect that.
Jonathan Tweneboahleft a comment
We started by trying to cut our own LLM bill with prompt compression. What we learned is that the bigger lever is often model selection, so we built LightReach to do both: compress prompts and route requests to the best-value model using HLE-based quality controls. Now we’re bringing that into tools like Cursor and Claude Code so teams can understand and manage AI cost where usage actually...
Compress By Light ReachAI is a commodity. Your bill should reflect that.