# Atlas Data Consortium

A-Alpha Bio has launched the Atlas Data Consortium to address the shortage of training data for protein models by sharing experimental data rather than trained models. Earlier sharing efforts relied mainly on federated learning, which pools data companies already hold but cannot enlarge the total. Five founding members each design one Data Block of one million protein-protein affinity measurements per quarter, all generated on the AlphaSeq platform under standard conditions and released quarterly to every member under a non-exclusive license. The first consortium focuses on VHH heavy-chain antibody variable domains, with consortia for other scaffolds expected from 2027.

A-Alpha Bio has launched the Atlas Data Consortium to address the shortage of training data for protein models by sharing experimental data rather than trained models. Earlier sharing efforts relied mainly on federated learning, which pools data companies already hold but cannot enlarge the total. Five founding members each design one Data Block of one million protein-protein affinity measurements per quarter, all generated on the AlphaSeq platform under standard conditions and released quarterly to every member under a non-exclusive license. The first consortium focuses on VHH heavy-chain antibody variable domains, with consortia for other scaffolds expected from 2027.