Bradbury Group accelerates machine learning research by pairing strong researchers with the compute and infrastructure needed to run large-scale experiments. We operate independently, with no salaries, no overhead, and no administrative cost; every dollar of sponsorship goes directly into compute and experimentation.
High-Visibility Attribution
Sponsors are acknowledged across papers, preprints, conference submissions, and technical reports. Your platform or institution becomes associated with state-of-the-art research in diffusion, transformers, and efficient architectures.
Our researchers come from institutions like Oxford, Berkeley, CERN, and other leading industry labs and startups. Many bring your platform back into their academic groups or full-time teams, creating organic long-term adoption.
Whether you are a university lab or an industry partner, our 30+ researchers operate in specialized per-project teams, and we selectively recruit new collaborators for each project’s technical demands, enabling the kind of parallel experimentation most groups cannot support.
A traditional lab would require a funded team of roughly 8-10 full-time researchers to run the volume of experiments we execute. Because Bradbury Group is volunteer-run, we eliminate the ~$2M/year staffing cost, giving sponsors an exceptionally high-leverage way to support cutting-edge ML research.
Open Science Alignment
Our work is non-commercial and publication-driven. We share methods, code, and results openly, giving partners visibility in research that circulates naturally across academic and industry communities.
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