Adaptive ML

Adaptive ML is a private software company based in New York, United States and Paris, France. The company focuses on reinforcement learning, providing tools that allow organizations to customize and operate open-source large language models for specific applications.

History

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.
In March 2024, Adaptive ML raised a seed round of US $20 million led by Index Ventures, with participation from ICONIQ Capital, Motier Ventures, Databricks Ventures, and other investors. Sifted reported an implied valuation of $100m in this round.
Adaptive’s product team is based in Paris, France, while its corporate, financial, and sales and marketing functions are in New York.

Technology and products

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

Business model and vision

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.
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.