Hospital Operations
OR setup, sterile tray prep, case carts, room turnover, supply restocking, and non-patient logistics.
CSD | Consent-first clinical data for physical AI
CSD
Clinical Skill Data for robotics teams training models to understand clinical motion, tools, rooms, and task sequences.
100-250 hrs
initial pilot volume
0 PHI
patient-free first demo
4-6 wks
delivery window
Why Now
CSD gives robotics teams clinical skill data they cannot scrape.
Homes, warehouses, and public videos do not capture the precision, safety checks, tool handling, and workflow sequencing inside clinical environments. We structure patient-free and consented clinical demonstrations into training-ready datasets.
Data Packages
Start with low-friction, high-signal clinical workflows.
Imaging Workflows
Ultrasound room setup, probe positioning on phantoms, X-ray room preparation, and technician motion.
Surgical Dexterity
Instrument passing, suturing trainers, laparoscopic trainers, endoscopy trainers, and tool sequencing.
Oncology Center Flow
Infusion chair prep, PPE routines, sterile handling, transport workflows, and nurse task sequencing.
Capture To Model
Built for data teams, not demo reels.
01
Scope the task family
Pick one workflow with a clear buyer use case, capture environment, and annotation schema.
02
Capture safely
Start patient-free, remove PHI risk, control the room, and document provenance for every session.
03
Annotate for action
Package egocentric video with hand pose, tools, phases, room context, and natural-language labels.
04
Deliver a pilot
Provide raw data, metadata, label dictionary, sample annotations, and quality notes for model teams.
Governance
Compliance-first by default.
- Patient-free first pilots with no PHI in samples.
- Consent and ethics review before any regulated workflow capture.
- Buyer-specific data use agreements and restricted access.
- De-identification and redaction for screens, badges, faces, labels, and metadata.
Pilot Offer
Validate a dataset before committing to a platform.
A typical pilot runs 4 to 6 weeks and delivers 100 to 250 hours from one task family, plus a data dictionary, capture protocol, metadata, and sample annotations.
Request a fit call
Tell us which robot-learning workflow is hardest for your team to source.
Book a 20-Minute Call