Make every demonstration machine-readable.
Optional annotation services for Physical AI datasets, with AI-assisted tooling and human review. From action timestamps to hand–object interactions, task outcomes and structured metadata, choose the labels your model actually needs.
Beyond a transcript of what happened.
Useful Physical AI annotations explain which objects were involved, what a person or system did, when it happened and what outcome followed. We shape label schemas around the downstream learning or evaluation objective.
Temporal and semantic
Action start/end times, task-step segments, activity tags, event boundaries and outcome labels.
Spatial annotation
Object classes, bounding boxes, tracks, masks or hand/tool references when included in the scoped workflow.
Structured metadata
Task ID, scene, device, camera view, environment, object states, difficulty and success/failure.
How we scope and deliver.
Your target task, available source signals and acceptance criteria determine what is included in a dataset.
Custom ontology
Define the task grammar, label definitions, hierarchy, ambiguity rules and acceptance criteria.
AI-assisted processing
Gemini and specialist computer-vision integrations are being validated for pre-annotation and triage; human review remains essential.
Quality assurance
Reviewer correction, sampling, adjudication and audit fields can be defined by project.
Export and handover
JSON/JSONL, COCO-style, CVAT-compatible or buyer-defined schema based on requirements and verified tooling.
AI-assisted annotation and model integrations are in active development. Automation levels and accuracy will be measured on representative pilot data before commercial commitments.
Common questions.
Can we purchase datasets without annotation?
Yes. We can supply eligible datasets in unannotated form, subject to the agreed format, metadata, usage rights and quality checks. Annotation can be scoped separately if you need it later.
Can you annotate footage that we already own?
Yes. We can discuss annotation-only work, subject to data access and rights, chosen labels and turnaround.
Do you provide human review?
Human-in-the-loop review is central to the intended workflow. Review depth and acceptance thresholds are agreed per project.
Can you deliver 3D labels or pose annotations?
These can be evaluated where the required depth, calibration, frames and tools are available. They are not automatically supported by ordinary MP4 video.
Start with your training objective.
Tell us the data modality, hardware or camera setup, target task, volume and deadlines. We will scope a realistic pilot.