Robotics
From Human Demonstrations to Robot Intelligence
Capture human activity at scale, auto-annotate with SAM 3, and export physics-grade training data for humanoid robots, manipulation arms, and embodied AI—all from one platform.
The Ground Truth Engine for Embodied Intelligence
SAM 3 auto-annotation handles 80-90% of the work. Our 15,000-person workforce guarantees the quality no model-only pipeline can match.
Auto-Annotation Pipeline
SAM 3-Powered Auto-Annotation
Meta's SAM 3 segments and tracks every object in every frame at 30ms inference. SAM 3D Body reconstructs full 3D human pose with 70 keypoints. Combined with depth estimation and SLAM, we auto-annotate 80-90% of your recordings—then our workforce verifies and enriches the rest.
Training-Ready Outputs
Everything Your Policy Network Needs
Object segmentation masks with temporal tracking, 3D MANO hand reconstructions, full body pose sequences (MHR skeleton), depth maps, action labels with timestamps, and scene descriptions. All in RLDS, HDF5, or Open X-Embodiment compatible formats.
Human Embodiment Data Collection
Deploy egocentric rigs, bimanual robots, and custom hardware across diverse real-world environments. Our 15,000+ operators capture kinematically valid trajectories—not scripted lab demos—with 50Hz capture frequency and multi-sensor fusion.
Why You Can't Build This In-House
Tesla needed 300+ engineers and 500+ annotators—a $50M+ annual cost center. Building production-grade annotation infrastructure takes 8-18 months. Your engineers should build self-driving robots, not annotation tools.
Build vs. Buy
Building an in-house annotation team means recruiting, training, and retaining specialized operators—a 6-12 month ramp. Avala gives you instant access to 15,000+ annotators already trained on 3D point cloud annotation, multi-sensor alignment, and temporal consistency verification.
Production QA Pipelines
Glass-box traceability, consensus review workflows, and multi-stage QA built for autonomous vehicle safety. Every annotation traced to annotator, review chain, and data artifact.
Weeks, Not Quarters
Share your robot specs and we'll deliver a validated pilot dataset. Foundation models handle 80%+ of annotation, our workforce guarantees the quality. $20-40/hr annotation-only, 60-80% gross margins at scale.
Why Engineering Teams Choose Avala
5× More Data
Vertically integrated ops deliver 5× more real-world data for the same budget
Domain Experts
Dedicated annotators who specialize in your domain for 12+ months
Diversity Built In
Environments, lighting, and edge cases systematically covered—not just volume
Unified Context
Frames, labels, and models in one platform—trace every output to its source
Embedded Engineers
Senior FDEs from Tesla and Waymo integrate directly into your Slack and repos
Fast Iteration
Pilot datasets in weeks, not quarters—iterate at the speed your models need
Enterprise Security
SOC 2 Type II, GDPR, ISO 27001, and TISAX certified with on-prem deployment options
Predictable Pricing
Usage-based pricing that scales with your needs—no hidden fees, no lock-in
Impact Sourcing
1,000+ operators with career paths and fair wages—less turnover, better data
Who We Serve
From humanoid startups to industrial automation giants—we serve every company building physical AI.
Humanoid Robot Companies
Figure, Galbot, Unitree, Agility, 1X—every humanoid company needs massive human activity datasets for manipulation and locomotion policies.
Robotics Foundation Model Labs
NVIDIA GR00T, Google DeepMind, Physical Intelligence, Skild AI—data quantity and diversity are the primary bottleneck for generalization.
Industrial Automation
Amazon, Toyota, BMW, Bosch—domain-specific human activity data for warehouse picking, assembly line tasks, and logistics robotics.
Embodiment Data Startups
Human Archive, Asimov, Cortex AI—they collect raw sensor data. We turn it into ground truth they can train on. Partner, don't compete.
Integrations
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Frequently Asked Questions
What file types and data does Avala support?
Avala supports common image, video, and point cloud formats including JPG, PNG, WEBP, BMP, TIFF, MOV, MP4, AVI, DICOM, LAS/LAZ, PCD, and JSON point clouds.
Do you support my use case?
Yes. Avala is built for cross-industry AI ops. Tell us about your scenario and we’ll map the right workflows and annotation types.
How do I get support?
Reach us via support@avala.ai, the in-product chat, or ask for a Slack Connect channel to collaborate with our team.
Is Avala secure?
We are GDPR and SOC2 compliant with ISO programs in progress. Visit the security page to review certifications and controls.
Can I start quickly?
Most teams launch a pilot in days. Share sample data and we’ll configure labeling, QA, and reporting to your requirements.
Ready to scale?
Share your robot specs and requirements. Get a validated 4D dataset in weeks—not quarters. Read our Physical AI Data Infrastructure Report and get started today.