Independent engineering for teams facing data scarcity and real-time limits. Scoped engagements, deterministic deliverables, no standing overhead.
Embedding conservation laws and known dynamics into the model so it generalizes from scarce, expensive data.
Hard latency budgets on constrained hardware — quantization, scheduling, and deterministic execution paths.
Simulation, transfer, and surrogate models for industrial settings where labelled data is rare or costly.
Taking a working model to a minimal, reproducible binary with ZeptonML — from notebook to bare metal.