The data platform behind the world’s leading surgical AI teams
Replace your exisiting data infrastructure stack with Encord to manage long OR recordings and increase video annotation speed by 6.4x. That's why the leading surgical AI teams are supported by Encord.
“Encord is essential in our daily activities because it allows us to focus on model optimisation and testing.”
Why the top surgical AI teams are switching to Encord
Stop labeling OR footage that won’t improve your model
Most surgical AI teams annotate too much, burying signal in hours of empty footage across 10+ hour procedures. Encord surfaces exactly what's worth labeling and feeds model failure cases back from production, closing the loop automatically.
Stop labeling OR footage that won’t improve your model
Most surgical AI teams annotate too much, burying signal in hours of empty footage across 10+ hour procedures. Encord surfaces exactly what's worth labeling and feeds model failure cases back from production, closing the loop automatically.
Multi-camera, multi-feed, one annotation workflow
Encord renders OR footage and simultaneous feeds. Label temporal phases, track instruments with interpolation with SAM 3, and annotate multi-camera feeds side-by-side.
Ontologies shift, rework shouldn't have to follow
In surgical AI, ontologies shift and task definitions change constantly and without version tracking, every update creates rework. Encord lets you update and QA labels as protocols evolve, with multi-step review pipelines and full traceability built in.
HIPAA-compliant, SOC 2 certified
Encord is HIPAA-compliant, SOC 2 Type II certified, and every annotation is exportable with a complete audit trail from day one. For teams with stricter requirements, Encord supports VPC, on-premise, and air-gapped deployments with a bring-your-own-storage model where raw data never leaves your infrastructure.
HIPAA-compliant, SOC 2 certified
Encord is HIPAA-compliant, SOC 2 Type II certified, and every annotation is exportable with a complete audit trail from day one. For teams with stricter requirements, Encord supports VPC, on-premise, and air-gapped deployments with a bring-your-own-storage model where raw data never leaves your infrastructure.
Researchers at KCL annotated endoscopy videos of pre-cancerous polyps using Encord. Employing clinicians for this work is expensive and time-consuming. Speed without sacrificing accuracy was critical. Using Encord's object tracking and micro-model functionality, annotators labeled a small number of frames, then let a trained model predict the rest.
Read the full case studyFaster video annotation vs CVAT
Improvement in senior clinician labeling efficiency
Model development time cut by 10 months
Our additional resources for Surgical AI Teams.
Frequently asked questions
Encord is HIPAA-compliant and SOC 2 Type II certified. Patient-identifiable OR footage is handled with strict data governance and access controls. HIPAA compliance is a formal prerequisite most surgical teams require before sharing any data. Encord is built to clear that bar from day one.
Yes. Every annotation in Encord carries a complete audit trail: who created it, who reviewed it, when it was modified, and which workflow version it went through. You don't need to reconstruct the history separately after the fact.
Yes. Encord supports simultaneous annotation across multiple video feeds: overhead camera, endoscope, instrument view in one interface. Labels are tied to temporal segments, not individual frames, so instrument tracking and phase labels stay consistent across feeds without manual re-work.
Most surgical AI teams do. Encord is designed to make those experts faster and more consistent, not replace them. The platform handles workflow routing, consensus management, version control, and QA overhead so your surgeons spend time on the clinical judgement calls that actually require them. When you need to scale for a time-bounded FDA sprint, Encord also provides access to expert annotators including board-certified surgeons.
Most annotation platforms are built for general computer vision and adapted for medical use. This means teams end up patching gaps in curation, video support, workflow management, or compliance rather than solving the actual problem. Encord is purpose-built to handle the full surgical AI pipeline in one place: from curation and native video annotation through to multi-step clinical review and regulatory-grade audit trails.