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Poolside
Large Language Models
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Poolside

Enterprise-grade AI for software engineering. Run sovereign agents and foundation models like Malibu and Point entirely within your own secure infrastructure.

Rating
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Reviews
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Upvotes
4 months ago
Listed
Software Development
AI Agents
Code Generation
Enterprise AI
LLM
On-premises AI
Software Engineering
DevOps
Code Completion
Machine Learning
Tool information
Provider
Poolside AI
Platforms
Web
Windows
macOS
Linux
VS Code
Visual Studio
Languages
English
French
API Available
Yes
Added to directory
4 months ago
Last updated
3 months ago
Rating
Not available
Pricing
Contact

About Poolside

What the tool does and who it's for

Poolside is an enterprise-grade AI platform designed to automate the software development lifecycle through sovereign agents and foundation models. Unlike traditional AI tools, Poolside is built to run entirely within a customer's own infrastructure (VPC or on-premises), providing full control over model weights and data. The platform utilizes proprietary models, including Malibu for complex engineering and Point for low-latency completions, both trained using Reinforcement Learning from Code Execution Feedback (RLCEF). It offers a complete stack for software engineering, including a web interface, CLI for CI/CD pipelines, and native IDE integrations, all governed by a central management console for auditability and security.

Key capabilities

Sovereign Deployment: Run entire AI stacks, including model weights, within your VPC or on-premises environment.
Malibu & Point Models: Purpose-built foundation models for complex refactoring and high-speed code completion.
RLCEF Training: Models are trained via Reinforcement Learning from Code Execution Feedback for functional accuracy.
Agent Orchestration: Build and govern multi-agent systems that can plan, implement, and iterate on complex tasks.
IDE & CLI Integration: Native support for VS Code, Visual Studio, and a CLI for automated CI/CD workflows.
Agent Traceability: Full trajectories of every action taken by an agent for auditability and compliance.
Sandboxed Execution: Agents operate in isolated containers with strictly defined filesystem and network permissions.
Knowledge Grounding: AI suggestions are grounded in your private documentation, tickets, and internal standards.

Pricing

Contact — plans below

Enterprise

Most popular

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  • Full model weight delivery
  • Self-hosted / VPC deployment
  • Unlimited agent trajectories
  • Centralized governance console
  • Custom sandbox configurations
  • Dedicated Research Engineering support

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