Egocentric video data for robotics & embodied AI
First-person human-activity datasets — collected, quality-checked, and consent-cleared, delivered to your spec.
First-person video of everyday human tasks
First-person (head-mounted camera) video of everyday human tasks, captured to a defined spec and ready for annotation and model training.
Every clip is captured with a head-mounted camera to the resolution, frame rate and framing agreed in your capture spec — then packaged with per-clip metadata so it is ready for annotation and model training the day it lands.
Collection built like an engineering pipeline
Spec, capture, QC, consent and delivery — each stage owned, documented and repeatable across every batch.
Vetted collector network
Trained, background-checked collectors across Indian households and workplaces — briefed per task before a single frame is shot.
Capture to spec
Resolution, FPS, framing, lighting, session length and task diversity fixed in a written capture spec you sign off on.
QC pipeline with sample review
Every batch passes automated checks plus human review, and you approve a sample before full fulfilment.
Consent & privacy handling
Signed releases from every participant, plus documented PII and bystander handling on every clip.
Annotation-ready delivery
Consistent naming, per-clip metadata, task labels and timestamps — drop it straight into your annotation or training pipeline.
Scalable batch fulfilment
Repeatable batches on a fixed cadence, scaled from a pilot to tens of thousands of clips without changing the spec.
From spec to annotation-ready batch
Four stages, fixed acceptance criteria, and a sample you approve before we scale the batch.
Scope & spec
We agree the task list, capture spec, volumes and acceptance criteria in writing before collection starts.
Collect
Briefed collectors capture head-mounted first-person video of the agreed tasks in real environments.
QC + consent verification
Each clip is checked against the spec and matched to a signed release before it can enter a batch.
Deliver annotation-ready
Structured, labelled, metadata-complete batches delivered to your storage on an agreed schedule.
Data for the models that act in the world
Teams building embodied systems use egocentric footage to ground policies in how people actually perform a task.
Humanoid & robot manipulation
Ground grasping, tool use and bimanual policies in how people actually do the task, not in lab-only demonstrations.
- Grasp diversity
- Tool use
- Real environments
Imitation learning
Human demonstrations at scale — consistent viewpoint, consistent spec — for behaviour cloning and policy pre-training.
- Demonstrations at scale
- Consistent viewpoint
- Long-horizon tasks
Activity recognition
Labelled everyday-activity footage for action recognition, temporal segmentation and benchmarking.
- Action labels
- Temporal segments
- Benchmark sets
Rigour you can audit, batches you can plan around
We run data collection the way we run engagements — specified up front, checked at every stage, and delivered on a schedule you can build a roadmap on.
- Process rigour — a written capture spec and acceptance criteria before collection begins.
- Vetted collectors, trained and briefed per task, not an anonymous crowd.
- Consent-cleared data with signed releases and documented bystander handling.
- Cost-efficient delivery from India without cutting the QC pass.
- Reliable, repeatable batches you can plan a training roadmap around.
Ready to spec your first egocentric batch?
Book a free strategy call. We'll scope the tasks, capture spec and volumes — and size a pilot you can validate before scaling.