Egocentric training
data, collected at
global scale.
We recruit, train, and manage 600+ camera operators across 10 countries, recording first-person video of real household and workplace activities — QC'd daily and delivered training-ready in LeRobot, RLDS, or HDF5.
Your model is blocked
on data, not architecture.
Embodied AI models are starving for one thing: diverse, real-world, first-person human data. A lab can script demonstrations all day — it still produces one kitchen, one lighting condition, one demographic. Environmental diversity is the bottleneck, and it can't be faked.
"A dataset of one million noisy hours is not an asset — it's a liability. Bad footage teaches inconsistent behavior, and more data just compounds the noise."
Building your own collection network means recruiting workers across a dozen countries, training them on capture protocol, QC'ing every clip, and running payroll twice a month. That's an entire ops company inside your ML team. It's exactly the company we already built.
In-house collection doesn't scale
Recruiting, training, and paying hundreds of operators is a full-time ops job. We run it for you.
Lab data lacks diversity
One facility means one environment. Models need thousands of real homes and workplaces.
Raw footage ≠ training data
Shaky, blurry, mis-framed clips poison a dataset. Every hour we ship passes multi-stage QC.
Scale AI minimums are out of reach
Enterprise contracts start at $500K+. We work with Seed–Series B.
Everything from
collection to delivery.
Three services, one vendor. We slot into your pipeline wherever you need us.
Egocentric Data Collection at Scale
We run a global network of 600+ trained operators recording first-person video of everyday household, kitchen, and workplace activities — head-mounted ultrawide capture, standardized protocols, multi-stage QC. Residential or industrial, scripted or naturalistic. You define the task taxonomy and quality bar; we deliver clean, consistent hours every day, at whatever volume you need.
Wearable & Sensor Capture
Beyond video: hand-pose and action data captured with sensorized gloves and motion controllers, synchronized with egocentric footage — the multimodal signal that world-action models need.
V2 — early accessVLA Action Annotation
Send us your raw recordings — or let us annotate what we collect. Episode-level language instructions, subtask segmentation, success/failure labels, and trajectory quality scores.
OpenVLA · pi0 · Octo · ACTBuilt by people who've done this.
What we're building.
Live projects, active research, and infrastructure in progress.
Global Egocentric Collection Network
600+ vetted operators across the Philippines, Indonesia, LATAM, and East Africa recording household and workplace activities daily — organized in team-lead pods with per-operator QC feedback.
Residential Activities Program
Large-scale first-person household activity collection for a US enterprise AI client. Thousands of hours under a single SOW, rolling weekly targets, daily QC flag cycle.
Operator Platform & Payments Infra
In-house dashboard running the whole network: onboarding, upload tracking, QC feedback, team-lead tools, and twice-monthly payroll to operators in 10 countries.
Mobile Collection App
Operators record through our guided capture app: a standardized task picker covering 75 household and workplace activities, framing and quality guidance, direct upload, and per-clip QC feedback.
Built for embodied AI teams that move too fast to build an internal data ops team.
If your model is starving for diverse, real-world human data — from Seed-stage robotics startups to enterprise AI labs — we're the collection team you'd hire, without the hiring overhead.
Want to collect data with us? Join our operator network →
From brief to
policy-ready data.
Share Your Brief
Activity taxonomy, target environments and demographics, capture spec, format, volume, and timeline. 30-minute scoping call optional. We'll tell you exactly what to expect before we start.
We Script & Deploy Operators
We write the collection protocol, define success criteria, train operators on your specific task, and configure the data pipeline. You review the protocol before collection begins.
Collect, QC & Annotate
Daily collection across the network, automated quality checks for blur, shake, and framing, human QC review, and per-operator feedback loops — plus full VLA annotation when you need it.
Deliver & Iterate
Rolling weekly deliveries to your preferred endpoint in your target format, with a full data card. Your feedback on batch N shapes the protocol for batch N+1.
Ready to fuel
your model?
Tell us what you're building and we'll scope a pilot. First QC'd batch in 2 weeks. No minimums, no lock-in, no enterprise sales cycle.