Your robots. Our data.

Physical AI starts with
physical data.

We collect, teleoperate, annotate, and validate the data that physical AI models need to work in the real world. Every project runs in our facility, with our team, end to end.

105,000+
Hours of physical world data collected
65+
People, all in house, all on payroll
0
Work subcontracted or outsourced
Book a Call →See How It Works
Trusted by
World Model Labs·Top 10 Global Data companies·YC backed robotics startup·Leading AI finance tool·India's top robotics company·World Model Labs·Top 10 Global Data companies·YC backed robotics startup·Leading AI finance tool·India's top robotics company
How we differ

Why robotics and Physical AI teams pick Human Loops over a generalist data vendor.

Specialists, not generalists
Egocentric capture, teleoperation, and multimodal annotation are not side offerings. They are what we go deep on. Our operators train on client hardware before any production episodes. Our pipelines output to whatever your stack needs.
Output formats
RLDSHDF5LeRobot V2MCAPzarr
Nothing subcontracted, nothing outsourced
Every annotator, operator, and reviewer is on our payroll, working from our facility. No gig workers. No crowdsourcing. No vendor chains. Your data lives inside one controlled environment for the life of the project.
65+
On payroll
0
Contractors
Spun up in weeks, not quarters
Recruiting, training, equipment, ops, and QA all sit inside the same building. When scope expands, we scale the team, not the vendor list.
One PMOne quality barOne roof
Capture to delivery, one team
Collection, teleoperation, annotation, labelling, format conversion, and final QA happen under one roof.
Services

Two practices. Both run end to end, in our facility, by our team.

01 · Physical AI
Egocentric Data Collection
First-person video from wearable rigs, iPhones, and head-mounted GoPros, captured across real environments at scale.
What's included
  • Household, commercial, industrial, retail, and outdoor environments
  • Multi-camera RGB, RGB-D, and stereo capture
  • Hand keypoints, gaze tracking, action labels, contact points
  • Volume from pilot (hundreds of hours) to program scale (100,000+ hours)
Selected work

A selection of how we operate. Clients stay confidential. The outcomes are real.

Case 01 · Physical AI · Egocentric Data Program
50,000 hours across 120 commercial environments and 300+ households.
Two months. Strict per-contributor quotas. iPhone-only capture via the client app.
01
ChallengeHigh-diversity first-person video for model pretraining. Strict per-contributor quotas, iPhone-only capture via the client mobile app, two-month window.
02
DeploymentSourced 120 commercial environments across retail, industrial, agriculture, and automotive. Onboarded 300+ households. 125 hours per commercial contributor, 50 per household, set to hit diversity targets. 40 field supervisors managed contributors in person to maintain 95% data quality accuracy.
03
Outcome50,000 hours delivered inside the window. Diversity targets met across environment, demographic, and task.
50,000
Hours delivered
120
Commercial environments
300+
Households
See sample egocentric videos →
Case 02 · Physical AI · Real-to-Sim Capture Program
5,000 hours of specialized warehouse capture for a real-to-sim pipeline.
Dense multimodal capture inside live warehouse environments for world-model training and policy evaluation.
01
ChallengeA robotics customer building autonomous warehouse systems needed dense, multimodal capture inside live warehouse environments: synchronized RGB-D, depth, motion, and operator action data for downstream simulation, world-model training, and policy evaluation.
02
DeploymentDeployed a specialized field team trained on client-provided capture hardware. Multi-rig synchronized recording (RGB-D, depth, IMU, action telemetry) operated across one warehouse site. On-site quality reviewers validated every session for synchronization, completeness, and protocol compliance. Custom format conversion and metadata schemas matched the client simulation stack directly.
03
Outcome5,000 hours of production-ready capture, fully synchronized, structured to the client sim format, delivered as a continuously growing dataset feeding their world-model training and real-to-sim evaluation loops in 45 days.
5,000
Hours captured
45 days
To first delivery
1
Live warehouse site
Case 03 · Finance · AI Tax Platform
High-volume tax document QA across 75,000+ documents.
A 20-person dedicated on-site team running 24/7 across Lacerte, ProSeries, UltraTax, and Drake.
01
ChallengeAn AI tax platform's extraction pipeline produced inconsistent accuracy across software formats, document categories, and form densities. Errors were reaching engineering review faster than they could be corrected.
02
Deployment20-person dedicated on-site team operating 24/7. Every field reviewed, formats normalized across Lacerte, ProSeries, UltraTax, Drake, errors flagged, and structured datasets delivered back to the engineering team.
03
OutcomeFull operations and onboarding handled by Human Loops. Engineering team fully freed from manual review. Error rate dropped to near zero across the deployment window.
75,000+
Documents processed
24/7
Ops coverage
20
Team size
Case 04 · Finance · Synthetic Tax Document Dataset
400 masked 1040s plus full supporting document sets. Nine weeks.
Production-grade synthetic US tax returns for model training — every supporting document a real filing would include.
01
ChallengeAn AI tax platform needed a production-grade synthetic dataset of US tax returns for model training. Real returns, fully de-identified, with every supporting document a real filing would include.
02
DeploymentStarted from 400 real 1040s. PII removed across every form and supporting document to produce 400 masked 1040s. For each return, the team generated the full supporting set: W-2s, 1099 INT, 1099 DIV, and all other source documents, plus tax summaries and tax questionnaires. Mixed team of associates and CPAs, with CPA review on every return for format correctness and tax-logic consistency.
03
OutcomeComplete synthetic dataset delivered in nine weeks. Format-correct, statistically faithful, CPA-verified, ready as direct input to the client's training pipeline.
400
Masked 1040s + supporting docs
9 weeks
End to end
100%
CPA-reviewed
Careers

Detail-obsessed operators who want to work at the frontier of AI and the physical world. All roles are full time, on site, in Nagpur.

Field Operations Manager
Physical AI OpsNagpurFull-time
Apply on LinkedIn →
Operations Manager
Ops LeadershipNagpurFull-time
Apply on LinkedIn →
Operations Associate
HITL OpsNagpurFull-time
Apply on LinkedIn →
Annotator
Data OpsNagpurFull-time
Apply on LinkedIn →
Recruiter
People OpsNagpurFull-time
Apply on LinkedIn →
Operations Intern
Multiple teamsNagpurFull-time
Apply on LinkedIn →
Don't see your role?
AnywhereSend your profile
team@thehumanloops.com →
Let's talk

Ready to build with us?

One call. No decks. Just a conversation about what you need and what we can do.

Book a Discovery Call →
↑   Back to Top