Poolside
Open-weight agentic coding models for secure, on-prem enterprise software engineering.
Poolside is the right call for regulated enterprises needing on-prem or air-gapped code reasoning with audit trails and a high-touch partnership. The 256K+ context and open-weight models are strong, but the cost and engagement model lock out smaller teams. For self-serve alternatives, consider GitHub Copilot or Cursor.
Verified 7d ago · liveness 74/100 · cite: rightaichoice.com/tools/poolside
- Large enterprises in regulated industries needing on-prem or air-gapped AI coding
- Teams requiring executive governance, audit trails, and role-based access
- Organizations embedding AI for complex, long-horizon software engineering
- CISOs and compliance officers in defense, finance, and healthcare
- Startups or small teams wanting a low-cost, self-service coding assistant
- Individual developers seeking a free or lightweight AI tool
- Projects with simple, repetitive coding tasks that don't need deep reasoning
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Skip Poolside if you're a small team or individual developer looking for a low-cost, self-service coding assistant—its enterprise focus and high-touch engagement model are overkill for simple projects.
Implementation and consulting fees for Forward Deployed Research Engineers are likely substantial, adding to the base platform cost.
Poolside's pricing is custom and enterprise-focused, tailored to large organizations. It's likely more expensive than per-seat tools like GitHub Copilot or Cursor, which are more affordable for small teams. The value lies in the security, control, and high-touch support, making it a fit for regulated enterprises with compliance budgets.
In short
Poolside — Open-weight agentic coding models for secure, on-prem enterprise software engineering. Best for Large enterprises in regulated industries needing on-prem or air-gapped AI coding, Teams requiring executive governance, audit trails, and role-based access, Organizations embedding AI for complex, long-horizon software engineering. Contact Sales pricing.
What's new in Poolside
Checked 11 days agoAcross the latest 6 updates: 1 feature update, 4 launches and 1 news mention.
Introducing Laguna S 2.1
Laguna S 2.1 released, focusing on longer horizon work and reasoning.
Introducing Laguna XS 2.1
Laguna XS 2.1 released, an upgraded version of Laguna XS.2.
Long context update: Laguna XS.2 and M.1
Laguna XS.2 and M.1 now available with 256K context lengths.
Through the looking glass of benchmark hacking
Outlining reward hacks encountered and strategies to resolve them.
AI, your way: introducing the Poolside Platform
Production-grade AI agents deployed inside your security boundary.
Introducing Laguna XS.2 and Laguna M.1
Two foundation models and two products released into preview.
What people actually say about Poolside — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
87 mentions across 5 sources (Hacker News, YouTube, Product Hunt, App Store, Lemmy) · researched Aug 24, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Open-weight models (Apache 2.0) allow full self-hosting and fine-tuning.
- +Long context windows (256K/1M) handle entire codebases per query.
- +Strong non-coding intelligence was noted by one HN user, praising its versatility.
- +Multi-agent orchestration with planning and tool use supports complex tasks.
- +On-prem, VPC, or air-gapped deployment meets strict regulatory requirements.
- −Local inference (llama.cpp) can corrupt context within 10k tokens (Q4).
- −Early releases had serious bugs; fixes came quickly but user patience is tested.
- −Pricing is unclear (contact sales), likely beyond budget for startups.
- −Ease of use is low; requires significant setup and enterprise buy-in.
- −Not a top choice for general coding; DeepSeek and others outperform for many.
- • Potential infrastructure costs for self-hosting GPUs
- • Professional services fees for custom deployments
- • No transparent public pricing; likely requires a sales engagement
Viability Score
How well maintained and how widely used is Poolside? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Open-weight models: Laguna S 2.1 and Laguna XS 2.1
- Laguna S 2.1: 118B params, 8B active, 1M context
- Laguna XS 2.1: 33B params, 3B active, 256K context, runs on-device
- Multi-agent orchestration with planning and tool use
- Sandboxed execution environments for agents
- RBAC and end-to-end audit trails for governance
- On-prem, VPC, or air-gapped deployment options
- Self-hosted model download and deployment
- Forward Deployed Research Engineers embedded with customers
- Custom evaluations co-created with customers
- Access via desktop app, CLI, and API
- API gateways: OpenRouter and Vercel AI Gateway
- Deep integrations with code repos, databases, and data warehouses
- Long context: 256K on XS.2 and M.1 (since May 2026)
About Poolside
Poolside builds open-weight foundation models and agentic systems for long-horizon software engineering, targeting regulated industries like defense, finance, and healthcare. The flagship models are Laguna S 2.1 (118B params, 8B active, 1M context) and Laguna XS 2.1 (33B params, 3B active, 256K context), the latter small enough to run on-device. Both handle large codebases per query and are accessible via desktop, CLI, and API gateways like OpenRouter and Vercel AI Gateway. The Poolside Platform orchestrates single and multi-agent workflows with planning, tool use, and sandboxed execution, all within your security boundary. Governance is built in: RBAC, end-to-end audit trails, and on-prem, VPC, or air-gapped deployment options. Poolside pairs technology with Forward Deployed Research Engineers to co-create custom evaluations and drive adoption. Unlike generic AI coding assistants, Poolside takes joint responsibility for outcomes and integrates with repos, databases, and data warehouses. It's a heavy, deliberate engagement for enterprises with compliance obligations and complex codebases, not for casual side projects.
Behind the Verdict
Poolside occupies a unique niche: it's not just another AI coding assistant, but a platform for deploying secure, agentic coding models within your own infrastructure. Companies in defense, finance, and healthcare—where data cannot leave the premises—will find the on-prem, VPC, or air-gapped deployment options essential. The open-weight models (Laguna S 2.1 and XS 2.1) give you transparency and control, and the 1M context window on S 2.1 lets you process entire codebases in a single query. The Poolside Platform adds multi-agent orchestration, planning, tool use, and sandboxed execution, so you can automate complex software engineering tasks safely. Governance is a standout feature: RBAC, audit trails, and the ability to run everything inside your security boundary address compliance concerns head-on. However, this isn't a self-service tool. You're expected to engage with Forward Deployed Research Engineers, and the cost and commitment reflect that. Smaller teams or individual developers will find cheaper, simpler alternatives like GitHub Copilot or Cursor more practical. If you have the budget and the need for airtight security, Poolside is worth the investment. If not, it's overkill.
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Real-world workflow fit
Concrete scenarios for the personas Poolside actually fits — and what changes day-one when you adopt it.
You need to modernize a legacy codebase while ensuring all AI actions are auditable and compliant.
Outcome: Deploy Poolside in your VPC, use multi-agent workflows to plan and execute the migration, and generate audit trails for every change.
You require on-prem AI coding with strict security controls to protect classified data.
Outcome: Air-gap your Poolside deployment, and use open-weight models to keep full control over your data and models.
You want to accelerate development while ensuring governance and role-based access.
Outcome: Integrate Poolside with your repos and databases, and leverage RBAC to enforce access policies across your team.
Use Cases
- Deploy secure AI agents inside your VPC for autonomous code review and refactoring.
- Orchestrate multiple AI agents to plan and execute complex software migrations across legacy systems.
- Embed Forward Deployed Research Engineers to co-build custom agent workflows within your development pipeline.
- Maintain full audit trails and governance over AI-assisted code changes in regulated industries.
- Automate end-to-end testing and deployment pipelines using multi-agent orchestration.
- Run evaluation benchmarks collaboratively with Poolside to tailor models to your specific codebase.
- Process entire enterprise codebases in a single query using 256K context windows.
Models Under the Hood
as of 2026-08-31
Limitations
- The models are open-weight and available via desktop app, CLI, and API, with on-prem, VPC, or air-gapped deployment options.
- They are optimized for secure enterprise use and may require integration with specific deployment infrastructure.
- The platform supports multi-agent orchestration and sandboxed execution, but initial setup may be complex for non-enterprise users.
as of 2026-08-30
Verification history
We have re-verified Poolside 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 16 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Poolside's pricing actually pencils out — and where peers do it cheaper.
Poolside's pricing is custom and enterprise-focused, tailored to large organizations. It's likely more expensive than per-seat tools like GitHub Copilot or Cursor, which are more affordable for small teams. The value lies in the security, control, and high-touch support, making it a fit for regulated enterprises with compliance budgets.
Setup time & first value
How long it actually takes to get something useful out of Poolside — broken out by persona, not the marketing-page minute.
Initial setup can take days to weeks, depending on your infrastructure. For a VPC deployment, expect to allocate time for integration with your existing repos and databases. The high-touch engagement model means you'll work with Forward Deployed Research Engineers to configure and customize the platform, which extends the setup phase.
Switching to or from Poolside
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From GitHub Copilot: If you're already using Copilot, you can migrate your workflows to Poolside for more secure, on-prem coding. You'll need to set up the Poolside Platform and integrate with your repos; custom
- ↗To a lighter tool: If you find Poolside too heavy, you can migrate to a simpler coding assistant like GitHub Copilot or Cursor. You'll lose the on-prem and governance features, but gain a more straightforward,
Integrations
Resources & Guides
- Resourcepoolside.ai
The latest stories from Poolside
Thoughts from the team building the foundation models and platform redefining how software gets made—securely, intelligently, and at scale.
- Resourcepoolside.ai
Upcoming events Poolside is attending
Meet our team and learn how to power your organization with foundational AI.
Tutorials & Learning
Official links
Tools that pair well with Poolside
Common stack mates teams adopt alongside Poolside, with the specific reason each pairing earns its keep.
Alternatives to Poolside
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Poolside AI
Open-weight agentic coding models for secure on-prem enterprise AI
Frequently Asked Questions
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