Automotive & ADAS
Build safer autonomy.
Synchronize multi-sensor fleets and ship safer ADAS and autonomy stacks.
Capabilities
2D and 3D annotation
Multiple annotation options for images, video, LiDAR, and RADAR using bounding boxes, cuboids, and semantic segmentation.
Use cases
ADAS & Autonomous Vehicle Operations
Autonomous driving
Pixel-perfect spatial object detection and tracking in 2D and 3D.
Fleet monitoring
Streamline maintenance and route optimization while ensuring driver safety.
Safety-critical systems
Notate every element of the environment for seamless navigation and maximum safety.
Traffic detection
Monitor road use and predict maintenance needs.
Analyze road conditions
Classify weather impacts on roads and infrastructure.
Driver behavior
Detect distractions and monitor driver alertness.
In-cabin monitoring
Track occupants and events inside the cabin to protect drivers and riders.
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.
Confidence for every release
Avala links raw captures, curated training sets, and deployed models so engineers can trace any decision back to the source data.