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Laguna by Poolside

PaidAPISelf-HostedAgentic

Summary

Deploying a frontier model on-premises without handing your codebase to a third-party API is, for most enterprises, either impossible or a two-year infrastructure project — Poolside is built to close that gap.

Poolside ships foundation models — Laguna XS.2 and M.1 — alongside an agent runtime, multi-agent coordination layer, and developer surfaces (IDE extensions, terminal, workflows) designed to run inside your security boundary on Dell hardware or AWS infrastructure. The 256K context window handles long-horizon code tasks without chunking. Where this architecture earns its keep is in regulated or air-gapped environments where sending prompts to an external API is not an option. The wall appears when you need to self-manage the deployment: Forward Deployed Research Engineers are part of the engagement model, which means the path to production runs through Poolside's team, not your own.

Bottom line: Pick this when your CISO has blocked external API calls and you need agents that plan and execute in a sandboxed environment — look elsewhere when you need a pay-as-you-go API you can wire up this afternoon.

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Best For: Agentic enterprise applications, Secure on-boundary AI deployments, Code-focused foundation model tasks, Multi-agent orchestration

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  • On-premises and air-gapped deployment options mean your code and prompts never touch an external API, so teams in regulated industries or defense can use frontier-class models without a data residency exception.
  • End-to-end traces on every agent action, so compliance and security teams have an auditable record of what the model decided and executed — without bolting on a third-party logging layer.
  • 256K context window handles full repository scans or long-horizon refactoring tasks in a single pass, so you avoid the context-splitting workarounds that break multi-file code reasoning.
  • Native multi-agent coordination with sandboxed code execution, which means agents can run tasks in parallel and execute generated code without you wiring together separate runtimes.
  • Provider-agnostic infrastructure support across multi-cloud and legacy environments means you do not need to standardize your stack before deploying, which removes the usual prerequisite rip-and-replace project.
  • The engagement model requires Forward Deployed Research Engineers embedded with your team — there is no self-serve path described. For teams that need to deploy and iterate on their own schedule, this adds coordination overhead and a vendor dependency that does not disappear after go-live.
  • No open weights and no public API are mentioned anywhere in the vendor materials. Teams that hit a capability ceiling or need to fine-tune the model on proprietary data will have limited options outside the Poolside engagement model — the condition under which teams switch to Claude 3.5 Sonnet or GPT-4o is precisely when they need faster iteration cycles or fine-tuning control that a proprietary, vendor-managed deployment cannot provide.
  • Pricing is enterprise-negotiated with no self-serve tier described. Teams running a proof-of-concept with a limited budget have no documented path to get hands on the model without initiating an enterprise sales process.

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About

Platforms
Poolside Platform, AWS, Dell on-premises
API Available
Yes
Self-Hosted
Yes
Last Updated
2026-06-22T08:31:54.846Z

Best For

Who it's for

  • Agentic enterprise applications
  • Secure on-boundary AI deployments
  • Code-focused foundation model tasks
  • Multi-agent orchestration

What it does well

  • Autonomous agent operation with tool use
  • Code generation and execution environments
  • Long-context reasoning in production workflows
  • On-premises frontier AI deployment

Integrations

RedpandaAWSDellagent CLI and IDE tools

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Frequently Asked Questions

Is Laguna by Poolside free?
Laguna by Poolside is a paid tool. No permanent free tier is offered.
Is Laguna by Poolside open source?
No — Laguna by Poolside is a closed-source tool. Source code is not publicly available.
Does Laguna by Poolside have an API?
Yes. Laguna by Poolside exposes a developer API. See the official documentation at https://poolside.ai for details.
Can I self-host Laguna by Poolside?
Yes. Laguna by Poolside supports self-hosting on your own infrastructure.
When was Laguna by Poolside released?
Laguna by Poolside was first released in 2026.
What platforms does Laguna by Poolside support?
Laguna by Poolside is available on: Poolside Platform, AWS, Dell on-premises.

Hours Saved & ROI Stories Community

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Laguna by Poolside

Poolside provides proprietary foundation models purpose-built for software engineering workflows, delivered with an agent runtime that lets those models plan, call tools, and execute code inside sandboxed environments. The core workflow runs on-premises or in a customer VPC: models are deployed inside your boundary, connected to your repositories, databases, and private corpora through purpose-built connectors, and governed by role-based access control applied to both human users and agents. Traces are captured end-to-end, which means audit trails exist for every agent decision — a requirement in enterprise environments where compliance teams review AI actions after the fact.

The differentiating feature is the deployment model itself. Most frontier model providers offer API access; Poolside’s stated architecture deploys the model weights and agent runtime inside your infrastructure, on-prem via Dell or in your own AWS environment. The vendor describes Forward Deployed Research Engineers who embed with customer teams and take joint responsibility for outcomes — not a handoff, but a co-ownership arrangement. For defense and regulated industries, air-gapped deployment on workstations is also described as an option.

This fits teams building agentic software engineering workflows — autonomous PR generation, code review, multi-step refactoring — inside environments where data cannot leave the building. It breaks, or at least slows down, when your team wants to iterate fast without an embedded vendor team involved: the engagement model is designed for high-consequence, high-coordination deployments, not rapid prototyping. Teams that need a simple REST endpoint and a credit card will find the procurement and deployment process mismatched to their timeline.

Technical specifics from the vendor: the Laguna XS.2 and M.1 models ship with a 256K token context window. Developer surfaces include IDE extensions, a terminal UI (TUI), binaries, and workflow tooling. Multi-agent orchestration is described as supported natively, with policies and traces governing agent behavior across heterogeneous environments including multi-cloud and legacy systems — no infrastructure replacement required, according to the vendor.