Adaptive ML envisions a future where generative AI is not a static resource but a dynamic, evolving intelligence that adapts continuously to meet the nuanced needs of businesses and their users. We exist to democratize the most advanced techniques in large language model customization and reinforcement learning, enabling organizations everywhere to harness AI that is truly personalized and perpetually improving.
By seamlessly integrating cutting-edge AI research into practical, scalable software solutions, Adaptive ML is pioneering an era where enterprise AI grows smarter through real interactions and feedback loops, unlocking transformative value across diverse industries. Our technology empowers companies to embed AI deeply into their operations with confidence, security, and a focus on meaningful business impact.
Driven by a mission to simplify complexity and expand access, we are building a future where every organization can deploy generative AI that evolves with their goals, delivering domain-specific intelligence that propels innovation, enhances customer experience, and redefines what is possible with AI.
Our Review
We've been tracking Adaptive ML since their $20 million seed round earlier this year, and frankly, we're impressed by what this Paris-New York startup is building. While everyone else is racing to create bigger, flashier AI models, these folks took a step back and asked a smarter question: "How do we make AI actually get better at the specific things businesses need it to do?"
The answer? Their Adaptive Engine platform, which essentially turns your AI models into learning machines that improve themselves based on real user feedback. It's like having an AI that actually pays attention to how people use it.
What Makes This Different
Here's where Adaptive ML gets clever. Instead of forcing companies to accept whatever GPT or Claude gives them, they've built infrastructure that lets enterprises continuously fine-tune their models using reinforcement learning from human feedback (RLHF). That's fancy talk for "the AI learns from what users actually want."
We've seen plenty of companies try to tackle AI customization, but most require PhD-level expertise to implement. Adaptive ML's platform democratizes these advanced techniques, making them accessible to regular enterprise teams. No AI research lab required.
The Technical Sweet Spot
What caught our attention is how they've architected this thing. The platform works with both open-source models (like Llama and Mistral) and proprietary ones, and it deploys within your own secure environment. That's huge for enterprises worried about data privacy.
Their approach to model distillation is particularly smart — you can take insights from expensive, powerful models and compress them into cheaper ones that still perform well for your specific use case. It's cost optimization that actually makes sense.
Who Should Pay Attention
This isn't for everyone. If you're just playing around with ChatGPT for basic tasks, stick with that. But if you're an enterprise trying to integrate AI into customer support, software development, or data analysis workflows, Adaptive ML deserves a serious look.
We're particularly excited about their potential in customer support automation and text-to-SQL interfaces. These are areas where generic AI often falls short, but continuous learning could make a real difference. The $20 million from Index Ventures and ICONIQ Capital suggests we're not the only ones who think they're onto something big.
Feature
Continuous model improvement using real user feedback
Preference and reinforcement tuning (RLHF, RLAIF)
Domain-tailored deployment for specific business use cases
Model performance monitoring and cost optimization
Support for open-source and proprietary large language models
Secure, self-hosted deployment ensuring data privacy
Jobs
FAQs
