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Adaptive ML

From Wikipedia, the free encyclopedia
Adaptive ML
Company typePrivate company
IndustryArtificial intelligence, enterprise software
Founded2023
FoundersJulien Launay, Baptiste Pannier, Daniel Hesslow
HeadquartersNew York, United States; Paris, France
Key people
Julien Launay (CEO), Baptiste Pannier (CTO)
ProductsAdaptive Engine
ServicesTools for deploying open-source LLMs
Number of employees
32 (2025)[1]
Websitewww.adaptive-ml.com

Adaptive ML (often styled as Adaptive) is a private software company based in New York, United States and Paris, France.[2] The company focuses on reinforcement learning (“RLOps”),[2] providing tools that allow organizations to customize and operate open-source large language models for specific applications.[3]

History

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Adaptive ML was founded in 2023 by Julien Launay, Baptiste Pannier, and Daniel Hesslow, who had previously contributed to open-source language model projects such as Falcon and BLOOM, and held research and engineering roles at Hugging Face.[2][4][5]

In March 2024, Adaptive ML raised a seed round of US $20 million led by Index Ventures,[6] with participation from ICONIQ Capital, Motier Ventures, Databricks Ventures, and other investors. Sifted reported an implied valuation of $100m in this round.[4][7]

Adaptive’s product team is based in Paris, France, while its corporate, financial, and sales and marketing functions are in New York.[8]

Technology and products

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Adaptive ML develops a software platform called Adaptive Engine, used to fine-tune and operate open-source large language models.[9]

The platform enables reinforcement-learning–based post-training and model-evaluation processes intended for data science teams. Reported areas of application include database query generation, automated customer-service workflows, and systems for retrieving internal information.[10]

Business model and vision

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Adaptive ML operates on a B2B model: the platform is targeted at enterprises that wish to deploy large language models with a high degree of customization, privacy, and control, rather than using third-party public LLM APIs.[11][12]

The company’s mission emphasizes long-term adaptability and continuous learning: as users interact with a model, their behavior and feedback become data for ongoing model tuning and improvemen, allowing organizations to tailor AI systems to their specific domain, data, and user needs.[11]

See also

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References

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  1. ^ "Adaptive ML – Company Profile & Employee Comparisons". PitchBook. Retrieved 19 November 2025.
  2. ^ a b c Kahn, Jeremy (11 March 2024). "Team behind popular Falcon AI models unveils new startup with $20 million in funding aimed at helping companies tailor LLMs for business". Fortune. Retrieved 18 November 2025.
  3. ^ "Adaptive ML". Index Ventures. Retrieved 2025-02-01.
  4. ^ a b "Custom-made gen AI for businesses: Adaptive ML closes $20m seed round". Sifted. Retrieved 2025-11-19.
  5. ^ "Abu Dhabi-based TII launches its own version of ChatGPT". Fast Company Middle East. Retrieved 2025-11-19.
  6. ^ Dillet, Romain (2023-11-09). "There's something going on with AI startups in France". TechCrunch. Retrieved 2025-11-19.
  7. ^ "Adaptive, la start-up d'IA générative qui a séduit Index et Iconiq". Les Echos (in French). 2024-03-11. Archived from the original on 2024-03-11. Retrieved 2025-11-19.
  8. ^ "Adaptive ML 2025 Company Profile: Valuation, Funding & Investors". PitchBook. Retrieved 2025-11-19.
  9. ^ "What the pitch deck from Adaptive, a new AI startup raising at a $100m valuation, tells us". Sifted. Retrieved 2025-11-19.
  10. ^ Super Data Science: ML & AI Podcast with Jon Krohn (2025-08-14). How to Get Started with Adaptive ML (feat. Adaptive CEO Julien Launay). Retrieved 2025-11-19 – via YouTube.
  11. ^ a b "Adaptive ML raises $20M to help companies build unique GenAI experiences - IRIS". www.iris.vc. Retrieved 2025-12-03.
  12. ^ "Adaptive ML". www.adaptive-ml.com. Retrieved 2025-12-03.