Poolside
UnclaimedTransforming enterprise work with AI foundation models and software agents for AGI.
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TL;DR - Poolside
- Develops and deploys AGI-driven foundation models and software agents for enterprises.
- Focuses on transforming software development with AI that can plan, use tools, and execute.
- Offers secure, on-premise/VPC deployment with embedded research engineers for outcome ownership.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Focus on high-consequence enterprise environments ensures robustness and security.
- Unique embedded research engineer model ensures tailored solutions and shared outcome responsibility.
- Designed for complex, heterogeneous IT landscapes without requiring rip-and-replace.
- Strong emphasis on data security, governance, and auditability.
Cons
- Likely high cost due to custom implementation and embedded team model.
- Requires significant organizational commitment for successful integration.
- Not a self-service platform; requires direct engagement with Poolside team.
Preview
Key Features
Agents and Multi-Agent Orchestration (plan, use tools, execute in sandboxed environments)Developer Surfaces (IDE extensions, binaries, workflows)Data and Knowledge Connectors (repositories, databases, data warehouses, private corpora)Poolside Foundation Models (deployed in your environment)Outcome ownership (joint responsibility for adoption and business impact)Inside your security boundary deployment (on-prem, VPC, workstations)Role-based access control for humans and agentsBuilt for complex environments (multi-cloud, legacy systems, air-gapped networks)
Pricing
Paid
Poolside offers paid plans. Visit their website for current pricing details.
About Poolside
By Toolradar Team·
Poolside is a frontier lab focused on building highly capable Foundation Models, agents, and enterprise systems to deploy them. Their core offering is an AI platform designed to bring Artificial General Intelligence (AGI) to enterprises, starting with software development. They aim to transform how work gets done by providing single and multi-agent systems that can plan, use tools, and execute tasks in sandboxed environments, governed by policies and end-to-end traces.
The platform integrates with existing developer workflows through IDE extensions, binaries, and custom applications. It connects to various data sources like repositories, databases, and private corpora while maintaining strict security boundaries. Poolside emphasizes a unique "Forward Deployed Research Engineers" model, where their experts embed with client teams to co-design, build, and operate the AI intelligence, taking joint responsibility for outcomes and measurable business impact. The solution is built for complex, heterogeneous enterprise environments, supporting on-premise, VPC, or workstation deployments with robust security features like role-based access control and executive-grade governance.
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Poolside FAQ
How does Poolside ensure data privacy and security for enterprise deployments?
Poolside deploys its foundation models and systems within the enterprise's security boundary, offering options for on-premise, VPC, or workstation deployment. This ensures that customer data remains under their control and never leaves their environment, complemented by role-based access control for both human users and agents.
What kind of environments can Poolside's AI agents operate within?
Poolside's single and multi-agent systems are designed to operate in sandboxed environments, allowing them to plan, use tools, and execute tasks. These operations are governed by defined policies and provide end-to-end traces for auditability.
How does Poolside integrate with existing developer workflows and tools?
Poolside provides developer surfaces such as IDE extensions, binaries, and workflows that integrate directly with engineers' existing tools. This allows the intelligence delivered by Poolside Foundation Models to be accessible across the development ecosystem, from the IDE to the terminal and custom applications.
What is the role of 'Forward Deployed Research Engineers' in the Poolside offering?
Forward Deployed Research Engineers embed directly with client teams to collaboratively design, build, and operate the AI intelligence within the client's software development environment. This approach ensures joint responsibility for outcomes, adoption, and measurable business impact.
How does Poolside handle data connectivity for its foundation models?
Poolside includes data and knowledge connectors that link to various enterprise repositories, databases, data warehouses, and private corpora. These connections are established within strict security boundaries to maintain data integrity and control.
What is Poolside's strategic focus for achieving artificial general intelligence (AGI)?
Poolside's strategic beachhead for AGI is software engineering, as it requires complex reasoning, multi-step planning, and understanding the 'why' behind actions. By building models capable of these tasks in high-consequence software applications, Poolside aims to accelerate the path to human-level AI.
Source: poolside.ai