
Overall Score
19
Top 25%
of AI companies
Poolside is an artificial general intelligence (AGI) company that focuses on developing AGI-powered software agents and foundation models fo
Poolside is an artificial general intelligence (AGI) company that focuses on developing AGI-powered software agents and foundation models for the enterprise sector. Their goal is the application and integration of AGI into everyday environments to automate and enhance work processes. Poolside's...

Overall Score
19
Top 25%
of AI companies
Overall Score
19
GitHub Stars
—
Monthly Visits
50K
Community Saves
210K
Poolside is an artificial general intelligence (AGI) company that focuses on developing AGI-powered software agents and foundation models for the enterprise sector. Their goal is the application and integration of AGI into everyday environments to automate and enhance work processes. Poolside's...
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
HN: "Laguna XS.2 and M.1"
| Keyword | Volume / Mo | CPC |
|---|---|---|
| poolside | 11,710 | $1.28 |
| poolside ai | 5,040 | $4.52 |
| poolside careers | 150 | — |
| poolside laguna | 170 | — |
| poolside company | 170 | — |
Poolside is an artificial general intelligence (AGI) company that focuses on developing AGI-powered software agents and foundation models for the enterprise sector. Their goal is the application and integration of AGI into everyday environments to automate and enhance work processes. Poolside's...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
HN: "Laguna XS.2 and M.1"
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
| Keyword | Volume / Mo | CPC |
|---|---|---|
| poolside | 11,710 | $1.28 |
| poolside ai | 5,040 | $4.52 |
| poolside careers | 150 | — |
| poolside laguna | 170 | — |
| poolside company | 170 | — |
209.9K
Rating
—
Views
—
Category
Large Language Models
Pros · 36
Cons · 10
Rating distribution
Release history · 1+
Initial release of Poolside.
Q&A · 22
Poolside's primary goal is to apply and integrate artificial general intelligence (AGI) into everyday environments to automate and enhance work processes. By doing so, they aim to transform organizations into 'agentic' entities.
Single and multi-agent systems in Poolside's offerings refer to software agents capable of planning and executing tasks in sandboxed environments. These agents function individually or in concert to perform complex tasks, governed by policies and end-to-end traces.
Poolside handles task planning and execution through its single and multi-agent systems. These agents, powered by AGI, can plan, use tools, and execute tasks in controlled environments, thus enhancing work processes with automation and intelligent decision-making.
Key features of Poolside's development tools include IDE extensions, binaries, and workflows that can move along with the engineers. These tools aim to facilitate the design, construction, and operation of intelligence in their software, hence making development more efficient and effective.
Poolside can connect with a wide range of data sources, including repositories, databases, data warehouses, and private corpora while maintaining strict security boundaries. The company offers connectors to link these diverse data sources, enabling comprehensive and secure data access for AI models.
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Badge
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<a href="https://indexator.ai/companies/poolside" target="_blank" rel="noopener">
<img src="https://indexator.ai/api/embed/badge/poolside" alt="Poolside Score on Indexator.ai" width="200" height="60" />
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<iframe src="https://indexator.ai/api/embed/card/poolside" width="300" height="200" frameborder="0" style="border:none;border-radius:8px"></iframe>Category Leaderboard
Top 10 in Foundation Models.
<iframe src="https://indexator.ai/api/embed/leaderboard?category=Foundation%20Models" width="300" height="400" frameborder="0" style="border:none;border-radius:8px"></iframe>