dataprinter
High quality experimental datasets for scientific AI training.
AI for science lacks high quality experimental data. Instrument readouts, negative data, and failed experiments are rarely published, yet necessary for the development of generative scientific AI.
As scientists, we know what data is valuable in the scientific enterprise, and exactly how to get it.
We provide curated, verified datasets sourced from the world's leading institutions. And where there isn't data, we design and run physical experiments against a specific model weakness, then return a complete record: conditions, raw instrument output, failures, expert interpretation, and the next recommended experiment.
Our mission is to democratize the creation of scientific superintelligence.