Avala Academy
The Ground-Truth Loop
Learn how fleet data becomes better models: ingest, visualize, annotate, curate, train, and deploy. Follow the loop from raw sensors to the next dataset.
Start the course- 01Ingest
- 02Visualize
- 03Annotate
- 04Curate
- 05Train
- 06Deploy
Deploy feeds back into Annotate — failures in the field become the next dataset.
Academy
Start the course
- 01
Foundations
What is Avala?
Learn how Avala connects sensor data, labeling, quality review, and training-data delivery for Physical AI.
2 min read - 02
Foundations
The Ground-Truth Loop
Follow the decisions that connect sensor recordings, reviewed labels, training data, and model evaluation.
2 min read - 03
Ingest & Visualize
Ingest & Visualize
Prepare a supported recording, upload it as a private dataset, and check timing, calibration, and coverage before labeling.
2 min read - 04
Annotate
Annotate
Choose labels for your model, use supported automation, and review the results against an explicit quality specification.
2 min read - 05
Curate
Curate & manage
Choose data for a specific training goal and preserve the source, review context, and export used for the handoff.
2 min read - 06
Train
Train
Export a reviewed project, validate the output in your training loader, and record the data and code behind each run.
2 min read - 07
Deploy
Deploy & close the loop
Use field events and evaluation results to decide what to inspect, label, and measure in the next data release.
2 min read - 08
Foundations
Make it yours
Connect your own workspace through the documented SDK, CLI, and MCP interfaces, starting with a read-only request.
2 min read