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Poolside
Agentic coding model company targeting enterprise and defense. Builds the Laguna model family: flagship M.1 is a 225B-parameter MoE (23B active) scoring 49.2% on SWE-Bench Pro; compact XS 2.1 is a 33B-A3B MoE that runs locally on a laptop. Models are trained with Reinforcement Learning from Code Execution Feedback, using verifiable rewards from real codebases.
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