SDSTK Studio
A native Swift canvas for visual data science and compound model orchestration on Apple Silicon.
Read PDF ↗Technical white papers spanning work from 2018 to today. The papers are recent write‑ups — grouped by the year each project was actually built, not when we got around to documenting it. Read in the browser or pull the PDFs.
A native Swift canvas for visual data science and compound model orchestration on Apple Silicon.
Read PDF ↗A federated protocol for privacy‑tiered, measured‑accountability AI compute across wide‑area networks.
Read PDF ↗A native iPad control plane for distributed AI inference clusters built on exo.
Read PDF ↗A universal platform for neural network interpretability, attribution, and surgical intervention.
Read PDF ↗An MLX‑native Swift reimplementation of the Python scientific data science stack.
Read PDF ↗On‑device few‑shot annotation and dataset organization for Apple platforms. Originally built 2020, actively maintained since.
Read PDF ↗A universal platform for on‑device machine learning training, inference, and model management — letting anyone build Core ML models from their own data. Our earliest work, dating to 2018.
Read PDF ↗The pre‑lab years. More than twenty apps shipped since 2011, across domains with nothing in common — where the range came from.
More papers are in the works. Open a channel if you want to talk about any of them.