Poolside AI
Enterprise open-weight foundation models and agents for high-consequence software engineering.
For regulated enterprises needing air-gapped, auditable AI for complex coding, Poolside is a compelling option with its open-weight approach and 256K context. But it's overkill for individual devs or small teams—contact-sales only and no self-serve signup limits accessibility.
- High-consequence software development in finance, healthcare, defense
- Enterprises needing AI agents for long-horizon planning and multi-step tasks
- Organizations with multi-cloud or air-gapped environments requiring on-prem deployment
- Teams needing custom foundation models inside a strict security boundary
- Individual developers or small startups without enterprise budgets
- Teams seeking a low-cost, self-serve code completion tool
- Projects needing immediate sign-up without vendor engagement
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Skip Poolside if you're an individual developer or small team needing a low-cost, self-serve code completion tool without enterprise contracts and air-gapped deployment.
Poolside is contact-only and targets large enterprises with budgets for custom models and embedded research. For teams that can't commit to six-figure deals, alternatives like Cursor or GitHub Copilot offer self-serve pricing. Poolside justifies its price with air-gapped deployment and full auditability.
In short
Poolside AI — Enterprise open-weight foundation models and agents for high-consequence software engineering. Best for High-consequence software development in finance, healthcare, defense, Enterprises needing AI agents for long-horizon planning and multi-step tasks, Organizations with multi-cloud or air-gapped environments requiring on-prem deployment. Contact Sales pricing.
What's new in Poolside AI
Checked 13 days agoAcross the latest 7 updates: 4 feature updates, 2 launches and 1 news mention.
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 models now serve 256K context lengths.
Research → Through the looking glass of benchmark hacking
Details on reward hacks encountered and strategies to resolve them.
AI, your way: introducing the Poolside Platform
Production-grade AI agents deployed inside security boundary with auditability.
Laguna XS.2 and M.1: A Deeper Dive
Technical details of Laguna M.1 and XS.2 models and agent runtime.
Introducing Laguna XS.2 and Laguna M.1
Two foundation models and two products released into preview.
Tools of the Trade: C2C Activation Offloading on Grace Blackwell
NVLink C2C offloads MLP activations to host memory, achieving 6-13% throughput gain.
What independent users actually report about Poolside AI
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.
40 mentions across 4 sources (Hacker News, YouTube, Bluesky, Lemmy).
- +Open-weight models with strong SWE-bench scores (72.5%).
- +On-prem, VPC, and air-gapped deployment for high security.
- +256K context length supports long-horizon reasoning tasks.
- +Multi-agent orchestration with sandboxed execution environments.
- +Executive-grade auditability and role-based access control.
- −Community feedback is scarce; limited real-world user reviews.
- −Platform is still in research preview as of April 2026.
- −Pricing is opaque; only 'contact us' with no published tiers.
- −Trademark dispute with Poolside FM creates name confusion.
- −Learning curve is steep for advanced agent orchestration features.
- • Infrastructure for on-prem deployment likely requires significant hardware investment
- • Consulting fees for Forward Deployed Research Engineers are not transparent
- • No free tier or trial means entry cost is unknown
Viability Score
How likely is Poolside AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Laguna XS 2.1 model (33B params, 3B active, on-device)
- Laguna M.1 model (225B params, 23B active, via API)
- 256K context length for multi-step reasoning
- Multi-agent orchestration with planning and tool use
- Sandboxed agent execution environments
- Developer surfaces: agents, TUI, IDE extensions, binaries
- Custom foundation models deployed on-prem or in VPC
- Data connectors to repos, databases, data warehouses
- Role-based access control for humans and agents
- Executive-grade governance and auditability
- On-prem, VPC, and workstation deployment (defense only)
- Forward Deployed Research Engineers embed with teams
- Real-time observability with end-to-end traces
- Air-gapped network support
- Open-weight model weights available
About Poolside AI
Poolside AI builds enterprise-grade foundation models, agents, and deployment systems for complex software development in regulated industries like finance, healthcare, and defense. Its Laguna family includes the lightweight XS.2 (33B params, 3B active, runs on-device) and the more capable M.1 (225B params, 23B active, accessed via API). Both support 256K context lengths for multi-step reasoning. The recently announced Poolside Platform provides production-grade AI agents with full auditability and governance, deployed inside security boundaries on-premises, in VPC, or on workstation (defense only). Key capabilities include single and multi-agent orchestration, sandboxed execution, IDE extensions, TUI, data connectors, and custom models. Forward Deployed Research Engineers embed with customer teams. Unlike generic code assistants, Poolside targets complex, heterogeneous, air-gapped environments and offers open-weight model weights. Currently in research preview (April 2026).
Behind the Verdict
Poolside AI is purpose-built for high-stakes software development in regulated industries. If your team operates in finance, healthcare, or defense and needs AI that runs inside your security boundary with full audit trails, it's one of the few options that truly delivers. The Laguna XS.2 model can run on-device, which is a big deal for air-gapped work. The latest news confirms 256K context lengths and the new Laguna XS 2.1 upgrade, so the models are actively improving. That said, Poolside is not for everyone. There's no self-serve signup—you have to engage with sales. Pricing is custom and likely enterprise-level. If you're a solo developer or a small startup looking for a cheap code copilot, this isn't it. The closest alternative would be something like GitHub Copilot or Codeium, but those lack the on-prem, open-weight, and high-governance focus. In practice, expect a lengthy procurement process and embedded engineers from Poolside to help integrate. The platform's real-time observability and role-based access control are strong selling points for compliance teams. But if you just want quick code completions without vendor handholding, look elsewhere.
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Real-world workflow fit
Concrete scenarios for the personas Poolside AI actually fits — and what changes day-one when you adopt it.
Deploying an air-gapped agent that generates mission-critical code from private repositories
Outcome: Within a week of embedding with Forward Deployed Research Engineers, the team has a sandboxed agent producing auditable code snippets for review.
Evaluating AI code assistants for compliance with regulatory audit trails
Outcome: Poolside provides end-to-end traces and role-based access control that satisfy the enterprise review board, enabling approval for production use.
Use Cases
- Deploy custom code-generation agents inside your VPC to automate software development workflows.
- Use multi-agent orchestration to plan and execute complex engineering tasks across heterogeneous environments.
- Audit all AI actions with full traces for compliance with CISO and enterprise review board requirements.
- Embed research engineers with your team to co-design AI solutions for specific engineering challenges.
- Leverage foundation models trained on your private repositories and corpora for context-aware code assistance.
- Run agents in air-gapped defense environments with workstation deployment.
Models Under the Hood
as of 2026-07-17
Limitations
- Poolside is currently in research preview (as of March 2026), so general availability is limited.
- Pricing is contact-only and enterprise-scale.
- Models are focused on agentic coding and software engineering; general-purpose chatbot functionality is not supported.
- Deployment requires integration and support from Poolside's Forward Deployed Research Engineers.
as of 2026-07-01
Where the pricing makes sense
The company stage and team size where Poolside AI's pricing actually pencils out — and where peers do it cheaper.
Poolside is contact-only and targets large enterprises with budgets for custom models and embedded research. For teams that can't commit to six-figure deals, alternatives like Cursor or GitHub Copilot offer self-serve pricing. Poolside justifies its price with air-gapped deployment and full auditability.
Setup time & first value
How long it actually takes to get something useful out of Poolside AI — broken out by persona, not the marketing-page minute.
For enterprises with existing access, initial integration with data connectors and a sandboxed agent environment can be set up in days with support from Forward Deployed Research Engineers. Full custom model training may take weeks.
Switching to or from Poolside AI
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: Poolside offers custom models and air-gapped deployment, but requires a vendor engagement and integration support.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Poolside AI
Common stack mates teams adopt alongside Poolside AI, with the specific reason each pairing earns its keep.
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