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About ReCourseLLM

RecourseLLM keeps your data in an external environment the model operates on, not inside a context window it's limited by. By orchestrating between deterministic and non-deterministic output, ReCourseLLM can save up to 98% of traditional token usage. It is LLM agnostic and works for everything from the smallest sovereign models, to the largest frontier models.

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Leadership

The top of ReCourseLLM's org chart, with how many people report into each leader.

JAPhoto of Joel Auge

Joel Auge

Co-Founder

Jobs at ReCourseLLM

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