Adaptive ML, the New York-based frontier AI company pioneering Reinforcement Learning Operations (RLOps), has announced two major executive appointments to lead its next phase of commercial growth. Marine Boulot joins as Chief Marketing Officer (CMO), and Sam Jones steps in as Chief Revenue Officer (CRO).
The dual hire signals the company’s transition from a research-heavy "category creator" to a commercial "category owner." Adaptive ML is currently translating its production-scale deployments at Fortune 500 companies like AT&T, Manulife, and Deloitte into a broader market leadership position for its specialized AI infrastructure.
New Leadership: Marine Boulot (CMO) and Sam Jones (CRO).
Core Technology: Adaptive Engine, the world's first RLOps platform.
Value Proposition: Building domain-specific, open-source models at 90% lower cost than closed frontier alternatives.
Deployment Scale: Active production environments at AT&T, Manulife, and Deloitte.
Strategic Focus: Defining the "intelligence layer" of the enterprise AI stack through Reinforcement Learning.
Headquarters: New York (Sales/Corp) and Paris (Research).
As enterprises move beyond simple Large Language Model (LLM) experimentation, the need for RLOps—the continuous improvement of models based on real-world feedback—has become critical. Adaptive ML’s "Adaptive Engine" allows organizations to fine-tune and operate open-source models on their own private infrastructure, ensuring data sovereignty while achieving "frontier" levels of performance.
"Bringing Marine and Sam on board at the same time is a deliberate choice. This is the moment when category leadership is won or lost. Enterprise RL is not a future bet; it is happening in production, at scale, today." — Julien Launay, Co-founder and CEO.
Boulot brings over 20 years of experience in brand and reputation strategy for high-stakes technology firms.
Previous Roles: Palantir, Improbable, Altran, and Technicolor.
Expertise: Scaling global marketing through hypergrowth, IPO preparations, and complex M&A activity.
Mandate: Making the story of Enterprise RL "impossible to ignore" as the category matures.
Jones is a veteran of go-to-market architecture for developer-focused and AI infrastructure companies.
Previous Role: Head of Enterprise Sales at Postman.
Expertise: Modernizing how global enterprises build AI-driven infrastructure and navigating the inflection from high-velocity growth to enterprise-grade operations.
Mandate: Building the commercial engine to match the engineering team’s delivery, closing the gap between advanced product and market understanding.
Adaptive ML’s success with Manulife and AT&T serves as a blueprint for how regulated industries are adopting AI. By using Reinforcement Learning from Human Feedback (RLHF) and Reinforcement Learning from AI Feedback (RLAIF), the platform continuously optimizes models for specific business KPIs, such as automated underwriting or customer experience, without the need for massive data annotation contracts.
About Adaptive ML
Founded in 2023 by the architects behind some of the most widely used open-source models, Adaptive ML is building the infrastructure layer for the specialized model revolution. With its flagship product, Adaptive Engine, the company helps global enterprises build, own, and continuously improve their AI models at a fraction of the cost of generic alternatives.
