What Makes Avala Different
Embedded Engineers
Senior Field Development Engineers from Tesla, Waymo, and top AV programs integrate directly into your team — joining your Slack, reviewing PRs, and co-designing your data pipeline.
15,000+ Domain Experts
Career annotators with 12+ months of specialization on your domain. These are not gig workers — they build institutional knowledge about your ontology and edge cases over time.
3D/4D Native
Built from the ground up for point clouds, LiDAR, MCAP/ROS, and Gaussian Splats. Not a 2D tool with 3D bolted on.
Unified Traceability
Trace any model prediction back through the export, annotation task, QA review, and source dataset item that produced it. See the Traceability page for details.
5x More Data
Vertically integrated operations — tooling, workforce, and QA under one roof — deliver 5x more real-world training data for the same budget compared to outsourced labeling.
Fast Iteration
Go from raw sensor data to pilot datasets in weeks, not quarters. No lengthy procurement, scoping calls, or multi-month onboarding.
How Avala Compares
The table below compares Avala against the most common alternatives for Physical AI data workflows.Enterprise Security and Compliance
Avala is built for teams that handle sensitive, pre-release sensor data.Get Started
Quickstart
Create your first dataset and annotation project in under 60 seconds.
Talk to Us
Contact our team to discuss embedded engineers, managed labeling, or enterprise deployment.