Deterministic test surfaces, regression suites, and provenance for language-model and AI components that need to ship under review.
Read paths, write paths, recovery controls, and audit for systems that need to keep running across operator turnover.
Run identity, lineage, artifact promotion, and cross-run analysis for R&D software under review.
Structure for training and validating learned flight-control policies, from simulation through evaluation gates to hardware handoff.
Queueing, placement, tracing, and recovery for unattended GPU work across local and remote compute.
Decision points for hosted APIs, private deployments, and hybrid model routing based on data boundaries, latency, volume, and operating cost.
Designing review paths where uncertain model outputs pause safely, preserve context, and return to automation with a record.