deepdac.ai

Solutions

Infrastructure for geometric and generative machine learning at the scales that matter to real scientific datasets.

Flagship · Now in private beta
FlashDiffusion
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Coifman–Lafon diffusion maps at 100M-sample scale. A B300-native sparse eigensolver replaces the dense EVD bottleneck — running in hours what previously took weeks. The geometry of your data, at the scale of your data.

Built for
MD trajectories & conformational landscapes
Cryo-EM particle stacks
XFEL single-particle datasets
Any high-dimensional time series requiring manifold structure
1M frames in 30 min
100M max samples
B300 GPU native
O(N·D) scaling
In development
SE(3)–FlashDiffusion  —  non-abelian diffusion maps for protein structure space

Running large-scale MD, cryo-EM,
or XFEL data? Let's talk.

Request beta access →