Building a universal predictor for applied ML, data science, and annotation.
We're an AI research lab for applied ML, foundation models and data science. We reverse engineer, interpret and build environments, libraries and frameworks. Our dream is to accelerate industries with ML across physics, life sciences, industrial, frontier and critical verticals.
Backed by
awesome programs.
We work with machine learning and data science teams, research groups, and labs to tune predictors to their data: tables, media, annotation, classification, and decision tasks.
Introducing Aleph
We're heading towards a future where foundation models play a significant role across physics, life sciences, industrial, and frontier verticals, and it's critical we find ways to develop and train them better and safer. We're building axi, an auto RL self-learning agent for controlling developer environments like aq at full efficiency. aq is the developer environment for foundation models built with frameworks, libraries, tools and autonomous agents helping design, test, and refine models. Built for precision and intent, handling architecture, experiments, and building AI the way it should be built, deliberately, not by guessing.
Training SAEs on a LLM to sense conflict, ambiguity, and tone, and choose the right response.
Labs we've worked with
Our latest research
Not sure if Aquin is right for you?
Policies & licensing
