Ground Truth forPhysical AI.
The developer platform for managing, labeling, and deploying physical-world data. From raw sensors to production models—traced, versioned, and validated.
$ pip install avala
from avala import Client
client = Client()
# List your datasets
for ds in client.datasets.list():
print(ds.name)Build with Avala
Python SDK, REST API, and CLI. Manage datasets, trigger annotations, and export results programmatically.
See what a connected data engine looks like
- Annotations per day
- >B
- On-demand labelers
- >
- First-Pass-Yield
- >%
Why Engineering Teams Choose Avala
Engineers Who Understand Your Data
Senior Forward Deployed Engineers from Tesla, Waymo, and other industry leaders embed directly into your team. They join your Slack, review your data, and optimize your annotation pipeline.
Industry Veterans
Engineers from Tesla Autopilot, Waymo, and top AV/robotics teams who understand your data modalities.
Embedded in Your Workflow
Your FDE joins Slack, reviews PRs, and integrates with your existing ML pipeline tooling.
Domain Expertise
12+ months on your domain. Your FDE builds institutional knowledge that compounds over time.
Latest from Avala
Ready to Ship?
For Developers
Start building with the Avala SDK in minutes. Access datasets, trigger annotations, and export results programmatically.
For Teams
See how Avala can accelerate your annotation workflows with a personalized demo.


