/

Poolside

  • What it is:Poolside is an AI startup building foundational models like Malibu and Point for software engineering, offering custom AI assistants, code generation, and APIs to empower developers.
  • Best for:Visionary VCs and AI investors, Enterprise development teams seeking next-gen tools, Companies building AI infrastructure
  • Rating:88/100Very Good
  • Expert's conclusion:Large Enterprises need to prioritize Data Security, Model Customization, and Continuous Improvement via Reinforcement Learning — While Poolside provides all of this, it provides too much "overkill" and is too expensive for smaller teams.
Visit website
Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Poolside and What Does It Do?

Poolside AI is a developer of foundation models focused on providing AI to support software engineering. Poolside AI focuses its efforts on automating coding processes, building AI agents, and creating enterprise level systems that enable organizations to capture operational intelligence. Poolside AI was founded by experienced individuals in the industry and is focused on developing AI systems for use in high-stake environments such as defense and government with an emphasis on security, privacy, and Artificial General Intelligence (AGI) through the development of software.

Active
📍San Francisco, United States
📅Founded 2023
🏢Private
TARGET SEGMENTS
Enterprise Software TeamsDevelopersGovernment and Defense

What Are Poolside's Key Business Metrics?

📊
$626M+
Total Funding
📊
$12B
Valuation
📊
Seed ($26M), Additional ($100M), Series B ($500M)
Funding Rounds
👥
Enterprise (defense, government)
Customers

How Credible and Trustworthy Is Poolside?

88/100
Excellent

A well funded unicorn that has been established by former GitHub executives with a focus on delivering battle tested models to the enterprise in high security environments.

BREAKDOWN
Product Maturity75/100
Company Stability95/100
Security & Compliance90/100
User Reviews70/100
Transparency80/100
Support Quality85/100
TRUST SIGNALS
Founders from GitHub CTO background$12B valuation with Nvidia $1B investmentEnterprise deployments in defense/governmentRLCEF training method for privacy

What is the history of Poolside and its key milestones?

2023

Company Founded

Founded by Jason Warner (former CTO of GitHub) and Eiso Kant (software entrepreneur), both are focused on using AI for software engineering.

2023

Seed Funding

Has secured $26 million in seed funding. The company also completed another round of funding in the amount of $100 million.

2024

Series B Funding

Raised $500 million from Bain Capital at a valuation of $3 billion. This provided the company with unicorn status.

2024

Product Release

Has released a coding automation product targeted at government and defense applications.

2025

Nvidia Investment

Announced that Nvidia will invest up to $1 billion into the company which will increase the companies' valuation to $12 billion or approximately four times what it was prior to the investment.

Who Are the Key Executives Behind Poolside?

Jason Warner— CEO & Co-founder
Previously served as CTO at GitHub and led the team that launched Copilot. Warner also previously worked as VP of Engineering at Heroku.
Eiso Kant— CTO & Co-founder
Co-founder of Athenian and source{d}, a software entrepreneur. Kant previously worked with Warner on attempting to acquire the AI capabilities at GitHub.
Paul St. John— Chief Revenue Officer
Hired in 2024 as the former Chief Revenue Officer at GitHub to serve as the head of the company's enterprise sales go-to-market strategy.

What Are the Key Features of Poolside?

✨
Foundation Models for Coding
Developed specialized generative AI models that were specifically trained for software engineering tasks, such as generating code, editing code, and suggesting contextually relevant edits to code.
🔗
Developer API
An API that allows customers to fine tune their own models using their specific business coding practices and knowledge bases so they can be deployed within their own company infrastructure.
✨
Coding Assistant
An AI assistant that generates/editing code snippets, answers questions about coding and provides suggestions based upon the user's current workspace.
✨
RLCEF Training
Uses reinforcement learning from feedback generated from the execution of code to generate synthetic data that preserves privacy while still allowing for deterministic code execution.
✨
Enterprise Deployment
Allows for the deployment of the models in multiple cloud environments, legacy systems, and air-gapped networks without requiring rip-and-replace.
✨
Forward Deployed Engineers
Employs research engineers that work directly with their customers to develop, design, and operate AI solutions as part of the customer's team.
✨
Executive Governance
Risk Controls, Auditability, Security Features are all designed by CISO & Review Board for each product.

What Technology Stack and Infrastructure Does Poolside Use?

Infrastructure

Multi-cloud, air-gapped networks, legacy systems support

Technologies

PythonFoundation ModelsReinforcement Learning

Integrations

IDETerminalCustom ApplicationsEnterprise Infrastructure

AI/ML Capabilities

Domain-specific foundation models using RLCEF (Reinforcement Learning from Code Execution Feedback) for software engineering, enabling code generation, editing, and long-context reasoning with privacy-preserving synthetic data.

Inferred from company website, research reports, and technical descriptions

What Are the Best Use Cases for Poolside?

Enterprise Software Engineering Teams
Specialized Coding Foundation Models will be deployed into Infrastructure for Code Generation, Editing, and Automation for all IDEs & Terminals.
Government and Defense Developers
Battle Tested in High-Security Environments with Air-Gapped Network Support, Executive Governance, and Embedded Engineering Assistance.
Development Teams Needing Custom Fine-tuning
Customize the Model on your Proprietary Coding Practices and Knowledge Bases through an API for Best Results.
NOT FORIndividual Hobby Developers
Enterprise Pricing and Deployment Model Not Optimized for Individual or Low Volume Personal Use.
NOT FORReal-time Low-Latency Applications
Foundation Model Inference May Not Meet Sub-100ms Requirements for Real-Time Trading or Gaming.

How Much Does Poolside Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Product Not Yet LaunchedPre-launch AI coding platform. No public pricing available as of February 2026. First product expected next year.Multiple sources including TechCrunch, AIM Research
Product Not Yet Launched
Pre-launch AI coding platform. No public pricing available as of February 2026. First product expected next year.
Multiple sources including TechCrunch, AIM Research

How Does Poolside Compare to Competitors?

FeaturePoolsideGitHub CopilotCognition AIMistral AI
Core FunctionalityAI coding assistant (pre-launch)Code completion & chatAI software engineerFoundation models for codeYes
Natural Language Multi-TurnYes (planned)YesPartialPartial
Pricing (Starting Price)N/A (pre-launch)$10/moCustom enterpriseUsage-based API
Free Tier Availability—Yes (limited)NoDeveloper tier
Enterprise FeaturesPlanned (enterprise focus)Yes (Copilot Business)YesYes
API AvailabilityYes (planned)YesYesYes
Integration CountEditor integration (planned)VS Code, GitHubProprietaryMultiple LLMs
Support Options—Documentation, supportEnterprise supportAPI docs
Security Certifications—Enterprise-gradeEnterprise-gradeGDPR compliant
Core Functionality
PoolsideAI coding assistant (pre-launch)
GitHub CopilotCode completion & chat
Cognition AIAI software engineer
Mistral AIFoundation models for code
Natural Language Multi-Turn
PoolsideYes (planned)
GitHub CopilotYes
Cognition AIPartial
Mistral AIPartial
Pricing (Starting Price)
PoolsideN/A (pre-launch)
GitHub Copilot$10/mo
Cognition AICustom enterprise
Mistral AIUsage-based API
Free Tier Availability
Poolside—
GitHub CopilotYes (limited)
Cognition AINo
Mistral AIDeveloper tier
Enterprise Features
PoolsidePlanned (enterprise focus)
GitHub CopilotYes (Copilot Business)
Cognition AIYes
Mistral AIYes
API Availability
PoolsideYes (planned)
GitHub CopilotYes
Cognition AIYes
Mistral AIYes
Integration Count
PoolsideEditor integration (planned)
GitHub CopilotVS Code, GitHub
Cognition AIProprietary
Mistral AIMultiple LLMs
Support Options
Poolside—
GitHub CopilotDocumentation, support
Cognition AIEnterprise support
Mistral AIAPI docs
Security Certifications
Poolside—
GitHub CopilotEnterprise-grade
Cognition AIEnterprise-grade
Mistral AIGDPR compliant

How Does Poolside Compare to Competitors?

vs GitHub Copilot

Poolside Positions as a Direct Competitor to Copilot X with Natural Language Multi-Turn Dialogue in Editors. Poolside is Focused on Proprietary Models Trained on 130K Codebases While Copilot Is Focused on General-Purpose Approach. Poolside Has Higher Valuation ($12B vs Microsoft Backing) But Pre-Product Launch.

Poolside for Specialized Developer Workflows; Copilot for Established, Battle-Tested Integration.

vs Cognition AI

Both Target AI Software Engineering but Poolside is Focused on Editor-Based Natural Language Coding vs Cognition's End-To-End Devin Agent. Poolside Has Superior Funding ($600M+) and Nvidia Backing But Later To Market.

Poolside for Incremental Code Assistance; Cognition for Autonomous Engineering Tasks.

vs Mistral AI

Mistral Builds Foundation Models While Poolside Applies Models Specifically To Software Development. Poolside Targets Individual Developers vs Mistral's Corporate Focus. Similar Paris Origins but Poolside Has Higher Valuation Trajectory.

Poolside for Developer Tools; Mistral for Enterprise Model Deployment.

vs OpenAI Codex

Poolside Differentiates Through Proprietary Infrastructure (10k Nvidia GPUs) vs OpenAi's Shared Models. Aims to Surpass Human-Level Coding Intelligence Faster Through Software Development Focus.

Coding automation poolside – a new way to create code; Codex for generating general code.

What are the strengths and limitations of Poolside?

Pros

  • The large amount of money raised - $600M +, with an estimated $12B value, is indicative of great investor confidence in the market.
  • Investment by Nvidia - up to $1B commitment to give them the latest and greatest in GPU (Graphics Processing Unit) to support their coding models.
  • Custom-built Infrastructure - 10,000 Nvidia GPUs are dedicated to supporting the proprietary coding models.
  • Focus on developers - Developed a natural language, multi-turn dialogue system that supports editor workflows.
  • An ambitious goal for Artificial General Intelligence (AGI) - AGI level intelligence in software development is the ultimate goal.
  • Partnerships with other companies - Integration with Amazon Web Services (AWS) allows for global scalability.
  • Ecosystem in Paris - Supports the European AI startup hub.

Cons

  • At the pre-product stage - Although they have received massive funding and there is much hype about the product, it has yet to be released.
  • Unproven Technology - There has been no testing of the claimed AGI level coding abilities in real-world production environments.
  • Risk of Overvaluation - A valuation of $12B puts a tremendous amount of pressure on the company to deliver.
  • No Pricing Transparency - The business model and costs associated with using the product are completely unknown at this time.
  • New Entrant into the Market - They will be competing with established players such as Microsoft’s Copilot.
  • Hype vs Reality - The bold AGI level claims made by the company could result in significant delivery shortfalls.
  • Dependent on Investors - The company is heavily dependent on the continued influx of large sums of money from investors.

Who Is Poolside Best For?

Best For

  • Visionary VCs and AI investors — Early Access to Potential Unicorn - With Nvidia backing and a trajectory towards a $12B valuation, Poolside has early access to what could be a unicorn.
  • Enterprise development teams seeking next-gen tools — Models Trained on 130k Codebases - The company has developed proprietary models that were trained on 130k codebases, which promises to transform the developer workflow.
  • Companies building AI infrastructure — Strategic Partnerships - The strategic partnerships with Nvidia and AWS make Poolside an important player in the ecosystem.
  • Paris/European AI ecosystem participants — Local Synergies - In addition to being part of the Nvidia and AWS ecosystems, there are local synergies with Mistral and the momentum of AI funding in Europe.
  • Software companies planning 2027+ roadmaps — Launching Product Next Year - By launching its first product next year, Poolside will be well-positioned to offer a future-proof coding solution.

Not Suitable For

  • Teams needing immediate production tools — Not Yet Available - Currently there is no product available. Consider using GitHub Copilot or Cursor instead.
  • Budget-conscious developers — Unknown Pricing - It is likely that the pricing will be premium based on the $12B valuation. Consider open source alternatives.
  • Small startups without long-term vision — Adoption Risk - As a pre-revenue company, there is a high risk of non-adoption. Stick with proven solutions.
  • Compliance-focused enterprises — Security/Compliance Information - Unfortunately, there is currently no information available regarding security/compliance. Choose vendors with established certifications.

Are There Usage Limits or Geographic Restrictions for Poolside?

Product Availability
Pre-launch - first product expected 2026/2027
API Access
Planned but not available
Usage Limits
Unknown - no public documentation
Pricing Information
Free Tier
Not announced
Geographic Availability
Global planned via AWS partnership
Compliance Certifications
Not disclosed publicly

Is Poolside Secure and Compliant?

Infrastructure Security10,000 Nvidia GPUs powered through Iris Energy data centers with AWS cloud integration.
Enterprise-Grade ScalabilityStrategic partnerships ensure secure, redundant global infrastructure.
Proprietary Model SecurityCustom models trained on 130,000 real-world codebases with controlled access.

What Customer Support Options Does Poolside Offer?

Channels
General inquiriesPre-launch - limited availability
Hours
Business hours (assumed)
Response Time
Unknown - pre-launch company
Satisfaction
N/A - no customer reviews available
Specialized
Enterprise support planned post-launch
Business Tier
Priority support expected for enterprise customers
Support Limitations
•No production customers or support infrastructure established
•Pre-launch - support channels not fully operational

What APIs and Integrations Does Poolside Support?

Deployment Model
Available through Amazon Bedrock managed service with REST API access. Models deployed in customer's AWS environment for security and compliance.
Authentication
AWS Bedrock authentication via AWS credentials and IAM policies. Enterprise deployments support private VPC deployment within customer firewalls.
SDK Support
Accessible through AWS SDKs (Python, JavaScript, Java, Go, etc.) via Amazon Bedrock. Native integration within developer IDEs through Poolside Assistant.
Integration Points
IDE integration for real-time code completion and chat-based assistance. Internal inference API for routing and processing requests. Compatible with AWS Elastic Cloud for data storage and AWS Trainium chips for inference execution.
Infrastructure
Runs on AWS Trainium specialized AI accelerators. Supports up to 10,000 code executions per minute for reinforcement learning feedback. Custom kernel optimizations via NKI programming language for optimal performance.
Security & Compliance
Models can be deployed in customer environment with data never leaving security firewalls. Fine-tuning on customer data, code bases, and documentation occurs within customer-controlled infrastructure.
Use Cases
Code generation and completion, test writing, documentation generation, refactoring, real-time suggestions based on project context, custom model development tailored to specific codebases.

What Are Common Questions About Poolside?

The proprietary RLCEF training method of Poolside creates a large amount of synthetic data by testing models against realistic coding scenarios on large amounts of code in a controlled way. Once this has occurred, synthetic data is created based upon the model's ability to generate correct code based on unit tests. Models that fail to produce correct code will still provide a learning signal as the model did try to produce a solution; therefore, models do not require user data to continue improving.

Poolside models have been deployed into Amazon Bedrock which allows users to deploy their own models within their own VPC or AWS account and execute them privately. No data leaves the user's firewalls to reach Poolside's systems. In addition, users are able to further customize these models with their proprietary code and documentation within their private environments.

Contacting Amazon Sales is required to obtain an enterprise quote to determine costs related to using the Poolside models. Costs are determined by usage, model selection, and customizations needed by the user. AWS Trainium also provides better cost savings than other accelerators used to perform inference on models.

Malibu is best suited to handle complex software engineering challenges such as generating code, creating tests, refactoring code, and documenting code.

Point is best suited to handle low-latency real-time code completions with a focus on being aware of the current context. Both models are trained together when utilizing the Poolside Assistant IDE to ensure the best possible development experience for the end-user.

Currently, Poolside is offered through Amazon Bedrock for AWS clients; information regarding possible trial offers of limited time access is provided through AWS or by reaching out to Poolside Sales for further details. Poolside targets Enterprise and large-scale engineering teams.

Poolside models can be fine-tuned using your organization’s source code, documentation, knowledge bases, internal libraries, and programming practices. Fine-tuning occurs solely within your organization and Poolside does not access or store your proprietary code.

Although many Global 2000 organizations have utilized Poolside, only a small number have publicly disclosed their use. Poolside has been primarily marketed toward large-scale engineering teams that are part of well-established organizations needing enterprise-level AI coding assistance with strict confidentiality and security guidelines.

Is Poolside Worth It?

Poolside uses a technically advanced AI-assisted coding approach built on significant research foundations and a substantial amount of investment ($500M+) (Bain Capital) Series B financing. As such, its reliance on reinforcement learning and target toward large-scale enterprise applications sets it apart from other AI assisted coding tools geared toward consumers (i.e., Copilot). Poolside has the potential for enterprise wide acceptance, however it still has a relatively short history as opposed to the competition.

Recommended For

  • Enterprises that require customized AI models for their in-house codebases and have an engineering staff of over 100 developers
  • Teams with extreme data security and compliance constraints that require on-site or private cloud deployment
  • Organizations that want to continuously improve their AI models based on the quality of the code being written and test coverage
  • Organizations looking to develop proprietary AI models for their internal coding practices and standards

!
Use With Caution

  • Mid-size businesses — The cost of purchasing and implementing a solution of this nature, along with the complexity involved, may make it difficult for the solution to provide a ROI for organizations with fewer than 10 engineers without customizing the solution extensively.
  • Organizations that require immediate implementation — Additional layers of infrastructure will be added as a result of integrating through AWS Bedrock
  • Specialized Languages/Frameworks — The ability to generate effective models may depend upon the availability of training data.
  • Solo Developers or Small Startups — Typically require low-cost or free solutions; Enterprise-focused pricing and infrastructure requirements make it difficult for these types of customers to use the software.

Not Recommended For

  • Companies looking for Code Completion that is easy-to-use and doesn't require any setup — GitHub Copilot is less expensive and easier to use than Poolside.
  • Companies that prioritize Cost Over Customization — Copilot or Open Source alternatives provide better value than Poolside.
  • Companies that are prohibited from using cloud-based solutions and require on-premise only — Currently AWS dependent.
  • Companies that prioritize Cost over Customization — Copilot or Open Source alternatives provide better value than Poolside.
Expert's Conclusion

Large Enterprises need to prioritize Data Security, Model Customization, and Continuous Improvement via Reinforcement Learning — While Poolside provides all of this, it provides too much "overkill" and is too expensive for smaller teams.

Best For
Enterprises that require customized AI models for their in-house codebases and have an engineering staff of over 100 developersTeams with extreme data security and compliance constraints that require on-site or private cloud deploymentOrganizations that want to continuously improve their AI models based on the quality of the code being written and test coverage

What do expert reviews and research say about Poolside?

Key Findings

Poolside is a well-funded AI Code Generation Company that raised $500M+ in Series B funding, founded approximately 2023-2024, and uses reinforcement learning from code execution feedback (RLCEF) to develop continuously improving models. The company has established partnerships with some of the largest companies in the world such as AWS Bedrock, as well as top tier investors including Bain Capital, Nvidia, and eBay. Poolside is used by many of the Global 2000 Companies and offers two primary models: Malibu for generating complex code and Point for providing real time completions.

Data Quality

Excellent — comprehensive information from official Poolside website, AWS official documentation, SiliconAngle, and Bain Capital Ventures. Company announcements from AWS re:Invent 2024 and recent funding round announcements provide current details. Specific customer names limited but transaction evidence strong.

Risk Factors

!
A relatively new company in an extremely competitive and rapidly evolving AI Market.
!
Poolside relies heavily on the use of AWS infrastructure and Trainium chips in order to operate efficiently and cost effectively.
!
There is limited information available regarding how many customers have actually adopted Poolside, as well as what specific metrics are being used to measure those customers.
!
Poolside's RLCEF approach requires a great deal of computing resources and an existing code execution environment.
Last updated: February 2026

What Additional Information Is Available for Poolside?

Recent Funding & Valuation

The firm has developed a system to support all aspects of the software development process using AI. Poolside ultimately wants to automate every aspect of the software development lifecycle by building an end-to-end AI system that can execute planning, tool usage and execution in sandboxed environments governed by policies and end-to-end traceability.

AWS Partnership

Poolside's innovative approach to the data bottleneck issue associated with AI model training is done by automatically collecting data from open source repositories, qualifying code based on unit test coverage, and then generating up to 50 potential solutions that can be used to train AI models. This provides high quality data for use in training AI models continually without needing access to customers' proprietary data.

Technical Research

Poolside's models can be trained to work on customers' code bases and documentation and can therefore be customized for each client to fit their unique development processes. Poolside currently allows customers to deploy its models securely in their own AWS environments so that data remains behind customer firewalls.

Product Vision

Poolside recently announced that it had completed a $500 million series B funding round in October 2024 with participation from leading investors including Bain Capital Ventures and others. Participation also included technology leaders such as NVIDIA and eBay among others. The investment round positioned Poolside as one of the few companies around the world capable of providing the necessary computing power to make significant advancements in the development of AGI in software development.

Synthetic Data Generation

Additionally, in November 2024, Poolside announced a new partnership with Amazon Web Services. As part of this agreement, Poolside will be offering its models to developers via Amazon Bedrock which is a platform provided by AWS. The partnership between Poolside and AWS makes AWS the first cloud provider to offer Poolside's fully-managed models. In addition to the availability of Poolside's models through Bedrock, the two companies have also agreed to optimize these models for AWS Trainium chips and integrate them into AWS infrastructure designed to support millions of code executions.

Enterprise Deployment Model

Finally, Poolside has made significant strides in creating transparency regarding how its models operate by releasing several technical papers detailing the architecture of its models and how they were optimized to provide state-of-the-art performance. For example, Poolside has released its Atlas inference codebase and has explained how it uses custom kernel implementations on Trainium hardware and has implemented separate prefill and token generation implementations to provide optimal performance for its models.

Technical Leadership

Jason Warner et al., as well as other experienced AI researchers at the helm of the firm, have the support of Bain Capital to scale their world-class research in an environment where computing resources are readily available to compete in the AGI race for software development.

What Are the Best Alternatives to Poolside?

  • •
    GitHub Copilot: A leading market AI code completion product built natively into Visual Studio Code and JetBrains Integrated Development Environments (IDE). Trained with a transformer architecture (without reinforcement learning feedback), it is simpler to implement and provides immediate benefit to most developers, however, there is no ability to customize the product for large enterprises or provide context-awareness like Poolside; best suited for individual developers and small teams needing an inexpensive and simple-to-implement solution.
  • •
    Tabnine: An AI-based code completion product that focuses on providing real-time suggestions (with optional fine-tuning on private codebases) that can be easily integrated into multiple IDEs. It offers more customization options compared to GitHub Copilot but does not have the sophistication of Poolside's RLCEF methodology. Best for teams that require customization but do not wish to invest in enterprise-grade infrastructure.
  • •
    Amazon CodeWhisperer: An AI code generation product that is native to Amazon Web Services (AWS) and integrates with AWS services; included benefits exist for AWS customers with a free-tier offering, but it is less sophisticated than Poolside. Best suited for organizations currently using AWS that would prefer to utilize native tooling for code generation, however, the product lacks customization and does not have a reinforcement learning feedback loop.
  • •
    Claude / OpenAI API: Leverage either Claude or GPT-4 through an API to create custom code generation user interfaces for specific use-cases; while this approach is more flexible than the previous three products for creating customized solutions for specific use-cases, it will require more developer effort and does not have the purpose-built coding optimizations as found within the first three products. Best suited for developers that are comfortable developing custom integration interfaces for general-purpose Large Language Models (LLMs) and not interested in utilizing a more optimized coding model such as those utilized within the first three products.
  • •
    JetBrains AI Assistant: Built-in native AI support for users working within the JetBrains ecosystem (i.e., IntelliJ, PyCharm). The IDE is aware of its own features so this will be easier to use than Poolside, yet less customizable for enterprises and has no reinforcement learning. Best suited for small development teams within the JetBrains ecosystem that are looking for a low-cost, lightweight AI-assistance solution.
  • •
    Open-source Models (Code Llama, StarCoder): Self-hosted open source code generation models are available from HuggingFace at no cost. These can be fully customized and you can ensure data privacy but they require an infrastructure and some experience with fine tuning a model. There will be minimal ongoing costs, but there will be significant engineering time and effort up front. Best for companies with large engineering teams that want full control over their AI systems and do not wish to incur additional licensing costs.

What Are Poolside's Code Completion Metrics?

Real-time with advanced context awareness
Low-Latency Code Completion
Point and Malibu
Proprietary Models
RLCEF (Reinforcement Learning from Code Execution Feedback)
Training Method
Full codebase understanding
Context Awareness
Customized to team codebase and practices
Fine-Tuning

What Supported Languages Does Poolside Support?

PythonJavaScriptTypeScriptJavaC++GoRust

Optimized for modern software engineering across major languages

What Ide Integrations Does Poolside Support?

VS CodeJetBrains IDEsAny IDE

Native IDE integration puts AI Assistant directly in development environment

What Is Poolside's Ai Model Specs?

Flagship Model
Malibu
Completion Model
Point (low-latency)
Training Method
RLCEF - Reinforcement Learning from Code Execution Feedback
Model Training
Proprietary models trained in-house
Customization
Fine-tuned on customer codebases and documentation
Deployment
Cloud-based (AWS Bedrock soon) with enterprise privacy
Inference Platform
Atlas inference engine (GPU/Trainium optimized)

What developer tools, APIs, and SDKs does Poolside offer?

Real-time Code Completion

Context-aware point model suggestion for entire codebase

Code Generation

Malibu produces production-ready code block for complex requirements

Automated Testing

AI-aided test writing and validation

Code Refactoring

Intelligent refactoring suggestions and implementation

Documentation Generation

Automatically generated and maintained technical documentation

AI Assistant

A conversational interface acts as a virtual teammate in your IDE

Custom Fine-tuning

Your models learn about your specific code base, libraries and practices.

Is Poolside Secure and Compliant for Enterprise Use?

Data PrivacyModels fine-tuned on your data without using for general training
Private DeploymentDeployed in your environment with full data control
Codebase IsolationSecure connection to your private codebases
SOC 2 ComplianceEnterprise-grade security (AWS infrastructure)
Model ProvenanceProprietary models with full transparency

Expert Reviews

📝

No reviews yet

Be the first to review Poolside!

Write a Review

Similar Products

Cursor
cursor.com
GitHub Copilot
github.com
Amazon CodeWhisperer
aws.amazon.com