AvalaAvala
Book a Demo

Robotics

The Data Engine for Robotics

Collect real-world demonstrations, reconstruct scenes in 4D, and export physics-grade labels—all from one platform built for embodied intelligence.

Label Reality. Not Frames.

Our 4D World-Data Engine reconstructs scenes, then labels the world with precision.

4D Reconstruction

Build a World Model Before You Label

We fuse multi-camera, LiDAR, and depth sensor streams into a unified 4D representation using Gaussian Splatting. Place a label once in 3D space, and it projects correctly into every frame and viewpoint—eliminating drift, flickering boxes, and broken tracking IDs.

Gaussian SplatsMulti-Camera FusionPoint CloudsSimulation ReplaySensor QA

Data Labeling

Training-Ready Outputs

Whether you're training a vision-language-action model, building an occupancy network, or validating in simulation—we output 4D bounding boxes, segmentation masks, meshes, and tracking IDs, all verified for zero geometric drift across time and viewpoints.

4D Bounding BoxesSemantic SegmentationOccupancy GridsPose EstimationTracking IDsInstance MasksFailure Mining

Collect Data at Scale

Managed teleoperation from trained operators in supervised facilities—capturing kinematically valid trajectories across bimanual robots, egocentric rigs, and custom hardware.

Bimanual Robots
10ALOHA units in fleet
Egocentric Rigs
2,000+Hours collected
Custom Hardware
300KHours committed
Capture Frequency
50 HzKinematic precision

Production-Scale Economics

We own the hardware, facilities, and workforce. You get 5× more data for the same spend.

Dedicated Operators

Dedicated Operators

Long-tenured teams with deep context on your robots and environments—not gig workers on one-off tasks.

Continuous Training

Continuous Training

Fair wages and career paths reduce turnover. Institutional knowledge compounds over time.

Weeks, Not Quarters

Weeks, Not Quarters

Share your specs and policy goals. Get a validated pilot dataset to accelerate your next training run.

Why 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 robotics domain for 12+ months

Embedded Engineers

Senior FDEs from Tesla and Waymo integrate directly into your Slack and repos

Unified Context

Frames, labels, and models in one platform—trace every output to its source

Impact Sourcing

1,000+ operators with career paths and fair wages—less turnover, better data

Fast Iteration

Pilot datasets in weeks, not quarters—iterate at the speed your models need

Enterprise Security

SOC 2 Type II certified, GDPR compliant, plus on-prem deployment options

Predictable Pricing

Usage-based pricing that scales with your needs—no hidden fees, no lock-in

Diversity Built In

Environments, lighting, and edge cases systematically covered—not just volume

Integrations

Learn More
Avala
AWS
Google Cloud Platform
Microsoft Azure
Snowflake
PyTorch
TensorFlow
Weights & Biases
GitHub
Keras
Slack

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.