About Contextwaise
We make LLM applications cheaper by sending the model only the context it needs.
What we do
Most of what an AI application sends to its model is noise: extra search results, raw tool output, repeated documents and old messages. The model reads all of it, and the provider bills every token. Contextwaise sits between your application and your model, scores each piece of context against the question, and removes what the answer doesn't need, in milliseconds. Every removal is logged with its reason.
It works with the models and providers you already use, through one API call or a few lines in a TypeScript or Python agent. On our example requests it cut input tokens by 56 to 71 percent; on our demo agent, it cut the bill by 55 percent. See how it works.
Why we built it
We kept seeing the same pattern in production AI: teams retrieve broadly so the model never misses the answer, then pay to resend that whole pile on every request and every agent step. Cheaper models and prompt caching help, but neither stops the model from reading what it doesn't need. Removing it before the call does.
Who we are
Contextwaise is built by GITMORE LTD, a software company incorporated in the United Kingdom.
Contextwaise is in early access. Join the waitlist or get in touch.