For engineering teams building in-house coding agents, Poolside is an open-weight foundation-model company offering Laguna S, a 118B frontier-class model, and Laguna XS, a 33B on-device model, both trained for agentic software development.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Poolside is positioning itself as the open-weight alternative in the frontier coding-model race: its own homepage messaging has narrowed over the past several months from a broad 'fastest path to AGI runs through software' framing to a specific pitch around 'open-weight agentic coding models,' anchored by the cloud-scale Laguna S and on-device Laguna XS lines. Conversation about the company sits inside the open-versus-closed-model debate and the broader argument over sovereign, locally run AI, with the company's own voice part of that conversation rather than only third-party commentary. Its footprint in the GTM-specific conversation is still early relative to its standing as a model lab.
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Business Profile
Poolside was founded in 2023 to build foundation models purpose-built for agentic software development, backed by investors including NVIDIA and Bain Capital Ventures, with total funding of roughly $626 million. The company has grown to about 350 people and operates in the open-weight lane of the model market, publishing its training approach in detail rather than keeping it proprietary. Its focus through 2026 has been shipping and iterating its Laguna model family: a frontier-scale version for cloud deployment and a smaller one built to run on-device, with homepage messaging updated repeatedly as new versions ship. The company continues to recruit applied researchers and engineers to extend that work.
Agent Readiness
Not yet graded.
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Poolside ships its Laguna models behind an OpenAI-compatible completions API, so agent frameworks built for that standard can point at Laguna with a base-URL and key change. The company has released pool, a terminal-based coding agent, and documents a hierarchical AGENTS.md system that lets instructions cascade from personal to project to nested-directory scope, so an agent adapts to whatever codebase it's working in — aimed at making Laguna a drop-in model for existing agent tooling rather than a closed product.
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