Wearable POV capture
Head-mounted cameras record real people doing real work in kitchens, workshops, stores and on outdoor routes, with audio captured in sync.
Egocentric data, delivered as a service
Train robots on the world as humans see it.
Flyspire is a consent-first, operations-driven team in India that records, cleans and licenses first-person video for robotics labs and vision-language model builders.
Consent-cleared
48-hr samples
Pipeline-ready
REC
00:00:00:00
RGBIMUAUD
hand · 0.97
cup · 0.93
board · 0.91
Delivered
0+ hrs
Consent verified
FIRST-PERSON VIDEO✦IMU-SYNCED MOTION✦CONSENT-CLEARED LICENSING✦S3 / GCS DELIVERY✦PYTORCH & JAX LOADERS✦MADE IN INDIA✦
FIRST-PERSON VIDEO✦IMU-SYNCED MOTION✦CONSENT-CLEARED LICENSING✦S3 / GCS DELIVERY✦PYTORCH & JAX LOADERS✦MADE IN INDIA✦
Track record
Hours that shipped,
Hours that shipped,
not hours we promised.
Every number here has already landed inside a client's training pipeline. We measure ourselves on footage delivered, not slides presented.
0
hours of first-person footage delivered to AI labs
0+core environments
0hsample turnaround
0%consent-documented
Services
Capture, consent and delivery,
Capture, consent and delivery,
handled end to end.
Motion data, time-aligned
Inertial streams are locked to every frame at the moment of recording, giving your models head pose and movement dynamics without post-hoc guesswork.
Licensing you can defend
Every contributor signs informed consent for commercial AI training. You get non-exclusive rights with clear terms for releasing downstream models.
Drop-in delivery
Data arrives in your S3 or GCS bucket with starter notebooks and ready PyTorch and JAX dataloaders, so training can begin the same day.
Compute stopped being the hard part a while ago. The real shortage is data that captures how people actually look at, reach for and move through the world.
Coverage
Cameras rolling,
Cameras rolling,
every single day.
Our 2026 capture programme spans the settings where embodied AI struggles most: cluttered, unscripted and very human.
Live
Kitchens & food prep
Dense hand-object interaction: slicing, pouring, plating and handling everyday appliances.
Live
Workshops & assembly
Tool handling, fastening, part fitting and repair routines, narrated by the operator as they work.
Live
Retail & warehousing
Shelf scans, item picking, sorting and restocking across real store floors and back rooms.
Live
Street-level navigation
Indian roads, bazaars and transit routes: chaotic, unstructured scenes no simulator gets right.
In production
Body-pose tracking
Add skeletal tracking and pose extraction on top of any capture package.
On request
Custom environments
Need a setting we don't cover yet? We go from scope to first sample in under three weeks.
Process
From the first call
From the first call
to footage in your bucket.
1
Scope
We learn what your model needs and where its data falls short.
- Pinpoint the data gap
- Lock environments and tasks
- Agree on volume and timeline
2
Sample
Representative footage lands with you fast, so you can test before committing.
- Real clips, not mock-ups
- Run your own evals
- Refine the capture spec together
3
Produce
A paid pilot of 20 to 100 hours comes first, then we ramp to full volume.
- Small, low-risk pilot
- Direct line to the founders
- Scale once results prove out
Sample library
See the footage
See the footage
before you sign.
Chopping vegetables02:14 · 1080p · IMU
Bench drill assembly04:51 · 1080p · IMU · narration
Shelf restock pass03:07 · 1080p · IMU
Market walk, evening06:30 · 1080p · IMU · audio
Pour & plate01:48 · 1080p · IMU
Fastener sequence02:59 · 1080p · IMU
Full-resolution clips and metadata are shared after a short scoping call. Request access →
Let's build together
Ready to feed
Ready to feed
your model?
Tell us what you're training and what's missing from your data. Within two business days you'll have sample footage and a scoping call on the calendar.
- ✓ Free sample clips matched to your use case
- ✓ Clear licensing terms up front
- ✓ No commitment until the pilot
Prefer email? Write to contact@flyspire.in