Poolside AI

Unlike cloud-only solutions, Poolside’s key differentiator is its “inside your boundary” deployment model. The entire platform can be deployed on-premise, in a private VPC, or on local workstations, ensuring a company’s proprietary code, data, and intellectual property never leave their secure environment. The AI is fine-tuned on an organization’s internal codebases, documentation, and best practices, creating a custom, highly-contextual assistant that understands the company’s unique engineering challenges. This approach is designed for high-consequence environments where security, compliance, and privacy are non-negotiable.

• Enterprise-Grade Security: Deploys on-premise or in your private cloud. Your code and data are never used for training third-party models.
• Custom Foundation Models: Features two core models: Malibu, a high-reasoning model for complex tasks (generation, refactoring, documentation), and Point, a low-latency model for real-time, context-aware code completion.
• Deep Customization: The models are fine-tuned on your specific internal repositories, libraries, and documentation, making suggestions highly relevant to your existing stack.
• Reinforcement Learning from Code Execution Feedback (RLCEF): A unique training method where the AI learns from the pass/fail results of actually executing the code it writes in a secure sandbox.
• Developer-First Tooling: The Poolside Assistant integrates directly into popular IDEs like VS Code, JetBrains, and Visual Studio.
• Full-Stack Platform: Provides a single, integrated solution for models, developer-facing tools, and APIs, all designed to work together.

• Accelerated Code Generation: Write production-ready code, unit tests, and boilerplate in seconds.
• Intelligent Code Completion: Get real-time, context-aware suggestions that understand your entire project, not just the current file.
• Automated Documentation: Generate and maintain technical documentation by allowing the AI to read and understand your codebase.
• Complex Refactoring: Perform large-scale changes and modernizations across complex codebases with AI assistance.
• Onboarding & Knowledge Base: Acts as an expert pair programmer that can answer questions about internal libraries and legacy systems.