Poolside builds open-weight foundation models for agentic coding, trained from scratch on its own data, infrastructure, and reinforcement learning.
Products & media
A production-grade system for deploying governed AI agents inside an organization’s security boundary, with sandboxed execution, audit trails, encrypted credentials, and flexible deployment.
A lightweight ACP-compatible terminal coding agent that runs Poolside’s Laguna models for software-development tasks.
Editor extensions and ACP connections that bring Poolside agents into Visual Studio, VS Code, Zed, and JetBrains.
An open-weight 118B-parameter mixture-of-experts model for long-horizon agentic coding, activating 8B parameters with a one-million-token context window.
A lightweight open-weight 33B-parameter mixture-of-experts coding model that activates 3B parameters and is small enough to run on-device.
A macOS desktop client for working with multiple Poolside agents and models across software projects.
Cosigns
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Funding
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$500M$3B valuation
$100M
$26M

