The interventions catalog
PL R&D helps frontier ideas move from open research to deployment — one field-level constraint at a time. Browse the public programs below, or read how we choose the work.
How we choose our interventions →Draft-source examples. Not approved commitments.
7 published examples in Neurotech. Draft-source programs, labeled as proposed — not a verified active inventory.
Make connectome reconstruction a measurable, competitive AI problem.
Create a primate reference dataset that tests long-range tracing.
Test whether neural simulation can predict a new biological result.
Make a large-scale connectome program technically and financially credible.
Give AI researchers well-defined neuroscience problems they can work on.
Build shared simulation infrastructure after a discovery target is proven.
Supply persistent operational ownership and an AI-native talent pipeline.
Public types here follow the FA2 draft vocabulary. See the methodology for how they relate to the Console toolkit.