ByHeather MacAvelia·Last verified May 15, 2026

Poolside

Name: Poolside
Author: Poolside

★3.5/ 5

by Poolside

✓ Verified Review

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Foundation model lab building enterprise AI for software agents and long-horizon work. Custom enterprise pricing only — typically multi-million dollar deals. Models: Laguna XS.2, M.1.

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GitHub

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Rating

MCP

Compatible

Poolside is the foundation model lab building large language models specifically for long-horizon work — starting with software engineering agents — and the enterprise systems to deploy them at scale. Founded in 2023 by Jason Warner (former CTO of GitHub) and Eiso Kant, Poolside has raised $626M+ at a $3B valuation from investors including DST Global, Bain Capital Ventures, and NVIDIA, positioning the company as a frontier AI lab focused on enterprise software development rather than general-purpose AI. Pricing is enterprise-only with no public self-serve tier. Public benchmarks place Poolside enterprise deployments in the multi-million-dollar range typical of foundation model partnerships, with the company focused on Fortune 500 enterprises and government deployments rather than individual developer tools. Poolside operates more like Anthropic or OpenAI's enterprise tier than competitive AI coding tools (Cursor, Copilot, Cline) — selling foundation models, agents, and the infrastructure to deploy them rather than productized developer experiences. Poolside's Laguna model family (XS.2 and M.1 variants) is purpose-built for code and software agent workloads. The company's differentiation versus OpenAI, Anthropic, and Google in the foundation model market is the explicit focus on enterprise software and long-horizon agent work — Poolside is not building general-purpose chatbots or consumer AI but specifically targeting the enterprise software development lifecycle with custom-trained foundation models that can be deployed in enterprise environments with full data governance. Poolside's government and enterprise focus targets specific high-consequence environments — financial services, defense, healthcare, large engineering organizations — where data governance, compliance, and on-premise deployment matter more than feature breadth. The company has secured major enterprise partnerships including with Booz Allen Hamilton for federal market deployments. Poolside operates under SOC 2 Type II, ISO 27001, and FedRAMP-aligned compliance for federal customers.

Pricing

custom

Segment

enterprise

Setup

moderate

Verified

May 15, 2026

Capabilities

code-generationautocompletemulti-file-editingagentic-coding

Pros & Limitations

Editorial assessment

Pros

✓Foundation model focus on long-horizon software agents — Laguna models are purpose-built for code and agent workloads rather than retrofitted from general-purpose models, materially better quality for enterprise software engineering use cases
✓Strong founder credentials and capital position — Jason Warner (former GitHub CTO) and $626M+ raised at $3B valuation provide enterprise procurement confidence and engineering depth that matches OpenAI or Anthropic-tier credibility
✓Enterprise and government focus addresses regulated industry needs — Poolside targets financial services, defense, and government with on-premise deployment and custom training, addressing data governance constraints that block hosted-only AI coding tools

Limitations

⚠Enterprise-only with multi-million-dollar deal sizes — Poolside is genuinely a frontier lab, not an SMB tool; individual developers and mid-market companies need productized AI coding tools (Cursor, Copilot) that Poolside doesn't target
⚠Newer in the foundation model market than OpenAI, Anthropic, or Google — while well-funded, Poolside lacks the years of production deployment that established foundation model providers offer, which can be a procurement consideration
⚠Limited public productization versus competitor depth — Poolside's public-facing product surface is narrow compared to OpenAI ChatGPT Enterprise or Anthropic Claude Enterprise, with fewer self-service evaluation paths for procurement teams

Technical Details

Deployment

ideapi

Model architectureProprietary

Avg setup timeCustom (typically 6-18 months for enterprise foundation model partnerships including model customization, deployment infrastructure, and integration)

Autonomous rateConfigurable: Poolside foundation models power autonomous software agents with enterprise-configured guardrails; deployment patterns vary by customer

Integrations

VS CodeJetBrainsGitHubGitLabSlack

Security

SOC 2 Type IIISO 27001