Surgical data collection captures procedure-grade demonstrations from clinician operators on research-grade surgical robots. Every trajectory is logged with sub-millimeter tool-tip pose, grip force, and stereo video — under HIPAA-compliant protocols with IRB approval and full de-identification.
Why outsource surgical data?
Clinician time is the bottleneck. We coordinate operators, handle IRB compliance, and deliver de-identified datasets so your ML team focuses on models, not protocols.
3 surgical platforms.
6 procedure types.
HIPAA compliant end-to-end.
Where we collect
41+ delivery centers across 12 countries. Every program runs from a Roborax hub near your target time zone.
Asia Pacific
India · Philippines
Americas
USA · Canada · Colombia · Jamaica · El Salvador · Belize
EMEA
UK · Albania · Kosovo · Morocco
Four streams produced by clinician operators, audited at sub-frame precision.
Surgeon-quality trajectories with tool-tip pose, sub-millimeter accuracy.
Force-torque profiles for contact-sensitive tasks where tissue trauma matters.
Operators with surgical training, not generic teleoperators. Bar matches OR standards.
Same procedure across body habitus, anatomy variation, and complication patterns.
A four-stage pipeline designed for IRB-compliant capture and FDA-grade audit trails.
Define the procedure, the success criteria, and the variation matrix with your clinical team.
Operators with surgical training matched to procedure type. Credentials verified.
Sub-millisecond synchronized capture in a HIPAA-bound environment. Audit trail per session.
Per-procedure quality review by a senior clinician. Failure cases flagged, not silently shipped.
Production and research surgical robots from across the field.
Production
Production
Production
Production
Production
Production
Four verticals. One data partner.
Whole-body trajectories across 24 platforms.
Long-horizon tasks in real environments.
Pick-pack-place across real SKU diversity.
Remote operator-driven data collection.
In-person task demos for imitation learning.
Held-out test sets and success-rate scoring.
FAQ
From the blog
Training Data for Surgical Robots: HIPAA, Precision, and ScaleCompliance requirements and data standards for surgical robot training.
From the blog
The QA Pipeline Every Robotics Data Team NeedsQA standards for procedure-grade teleoperation data.
Tell us the platform and the procedure. We come back with a clinician roster and IRB plan.
FROM THE FIELD
Warehouse robot training data programs consistently underperform their lab benchmarks in production. The reason is almost never the model architecture. It is almost always a
Surgical robot training data has requirements that no general-purpose robotics data program is built to meet out of the box. Sub-millimeter precision, HIPAA compliance, and
A robotics data quality assurance pipeline is not a checklist or a review meeting. At production scale, robotics data quality requires automated validation, per-operator metrics,
Robot data annotation is not image labeling with a different name. The temporal structure of robot trajectories, the grounding in physical task semantics, and the
Sim-to-real robot training with synthetic data is one of the most powerful techniques in embodied AI — and one of the most misunderstood. The gap
The embodied AI training data problem is structurally different from the language model data problem. Language models learned from the internet. Embodied AI must learn
