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Robot-heavy facilities & automation campuses
Large logistics buildings, micro-fulfillment sites, and lights-out manufacturing wings generate the richest embodied-AI data: tight human–robot interaction, shifting SKUs, and real latency. Dynamic intelligence installs the capture, labeling, and verification layer so policies trained in the lab—or fine-tuned from public robot research—can be measured and promoted on your concrete.
We are not competing with the teams publishing vision-language-action breakthroughs. We make their checkpoints usable: Ground-Log for governed datasets, Bench-Fabric for scenario regression, Fleet-Tape for production truth. The outcome is fewer mystery regressions when a new model meets Tuesday’s truck schedule.
Where this lands first
Typical programs we co-deploy with operators and model partners:
Multimodal data capture next to humans
Synchronized RGB-D, lidar, force, and proprioception with redaction, consent, and retention policies—so you can fine-tune or evaluate VLAs without turning the warehouse into an open dataset.
Sim + recorded slices for promotion
Bench-Fabric pipelines replay new checkpoints against both synthetic faults and anonymized site episodes before OTAs reach AMRs or arms on the main aisle.
Fleet-wide policy registry
Fleet-Tape tracks which weight, config, and safety envelope ran on each robot, enabling instant rollback when a KPI or near-miss threshold trips.
Incident forensics in minutes
Ops and safety teams open a shared timeline: sensor summary, planner output, supervisor overrides, and the exact data slice exported for ML postmortems.
Partner-friendly exports
Structured drops for research collaborators—without leaking customer identity or proprietary layouts beyond contract.
Energy-aware scheduling hooks
Optional signals to batch heavy replay or labeling jobs when onsite power budgets allow—useful for campuses balancing EV fleets, chillers, and GPU racks.
Single pane in Dynamic intelligence Hub
Mission health, data coverage, evaluation status, and promotion approvals in one console so PMs, ML, and reliability stop emailing zip files.
How we work with your stack
Dynamic intelligence integrates above WMS/MES and OEM SDKs:
- •Instrument first: define the multimodal schema, edge buffering, and upload contracts that match your threat model.
- •Automate labeling where high precision matters—sparse human tags on top of continuous logs for RL or VLA fine-tuning.
- •Tie every promotion to Bench-Fabric gates and Fleet-Tape observability so ‘works in sim’ cannot silently diverge from ‘works beside people’.
- •Review quarterly with joint autonomy + data governance stakeholders; evolve schemas as SKUs, robots, or partners change.
Facilities become first-class ML environments: reproducible episodes, explainable rollouts, and an audit trail insurers and executives can read.
You keep choosing the best policy research—whether developed in-house or inspired by public embodied-AI programs. We make sure the data and evaluation story keeps pace.