Poolside
2 models across 1 family · Latest: Laguna XS.2 (2026-04)
Reinforcement learning transforms code generation
Poolside's portfolio covers 2 active models across 1 current family, spanning long context. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 1 workload area across 2 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating long context across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 2 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
2
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
0 open
0 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2026-04-28
Laguna XS.2
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 2 recent dated releases (full timeline below). Latest: Laguna XS.2 (2026-04-28).
Where this lab wins
- Long-context: 2 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
Flagship: Laguna XS.2 (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
Poolside is a French AI research organization founded in 2023. Reinforcement learning transforms code generation. Poolside ships 1 model family totaling 2 models, with the most recent release Laguna XS.2 in 2026-04. Notable families include Laguna. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts, links. View official API endpoints, benchmark performance, and coding/agent fit for every Poolside model.
About
Poolside, a cutting-edge AI research company based in Paris and founded in 2023, is at the forefront of innovations in artificial intelligence, specifically targeting advancements in software development. At the core of Poolside’s mission is the ambition to create AI systems that not only assist human developers but ultimately enhance and surpass human capabilities in software engineering. This vision underscores the company's belief that software development captures the essence of human intelligence, and breakthroughs in this domain can catalyze significant global progress. Central to Poolside’s technology is their proprietary methodology known as Reinforcement Learning from Code Execution Feedback (RLCEF). This unique approach enables AI models to improve their capabilities by engaging with numerous real-world software projects, effectively learning from the practical application rather than static training on human feedback. By executing and testing code directly, Poolside’s AI models become more robust and reliable, setting them apart from other general-purpose AI systems. This method highlights a commitment to deploying AI in real-world applications, ensuring continuous growth and adaptation. Additionally, Poolside is dedicated to building its own foundation models along with a robust infrastructure. Part of this infrastructure development includes a large-scale AI training cluster equipped with 10,000 NVIDIA GPUs, which dramatically accelerates their research capabilities. Their emphasis on using high-quality, curated datasets and synthetic data generation further underlines their commitment to excellence in AI development. Poolside's notable achievements include raising a significant $500 million in Series B funding, reaching a remarkable valuation of $3 billion. Such financial milestones speak to the confidence investors place in Poolside's potential to revolutionize the software industry. The leadership team’s pedigree, featuring prominent figures from leading tech companies, adds credibility and strategic direction to their initiatives. The company’s long-term vision is ambitious, aiming not just to assist seasoned developers but to empower non-technical users in creating software through intuitive AI-driven processes. This reflects their fundamental belief in the democratization of software development, leveraging AI to unlock human potential across diverse domains. By prioritizing security and scalability, Poolside is ready to meet and exceed the expectations of large enterprise clients, while also planning to expand their AI applications beyond software development.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Laguna XS.2 | 2026-04-28 | 131k | $0 | $0 | Proprietary | Proprietary |
| Laguna M.1 | 2026-04-28 | 131k | $0 | $0 | Proprietary | Proprietary |
Model families
Recent releases
- Laguna XS.2- 2026-04-28
- Laguna M.1- 2026-04-28
FAQ
Who founded Poolside and when?
Poolside was founded in 2023 and is associated with Paris, France.
What models has Poolside released?
Poolside ships 2 models across 1 family: Laguna.
Is Poolside's technology open source?
Poolside's models are proprietary.
Where is Poolside headquartered?
Poolside is headquartered in Paris, France.
What is Poolside known for?
Reinforcement learning transforms code generation. Its most prominent tracked family is Laguna.
How can I access Poolside's models?
Poolside's models are available via OpenRouter.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.