Multimodal data
Keep the real world intact.
Ingest MCAP, LiDAR, video, and telemetry into a searchable system of record. Preserve synchronization, metadata, lineage, and permissions from raw log to selected scene.
Explore dataset operationsFleet Learning Infrastructure for Physical AGI
Turn sensor data into models that improve.
Avala is independent infrastructure between your real-world systems and your training stack. Ingest multimodal data, produce defensible ground truth, publish versioned datasets, and route model failures into the next training cycle.
Built for robotics, autonomous vehicles, and embodied AI.
MCAP + ROS
LiDAR + point clouds
Multi-camera video
Telemetry + trajectories
The closed loop
Every model result becomes the next data decision.
Sensor context, labeling decisions, quality evidence, dataset versions, and model feedback stay connected in one operational record.
- Ingest
- Explore
- Label
- Validate
- Release
- Train
- Improve
Traceable in one system
The operating layer
One system of record between sensors and models.
Replace fragmented project handoffs with an infrastructure layer your data, ML, and operations teams can run together.
Human + AI quality
Make every label defensible.
Combine model-assisted labeling, expert judgment, configurable review, and consensus. Keep the rationale and quality history attached to every accepted annotation.
Explore annotation workflowsVersioned releases
Close the learning loop.
Publish governed datasets to your training stack, find model failure modes, and route the right scenes back through the next iteration.
Explore versioned datasetsExecution that fits
One control plane. Any operating model.
Use Avala with your own team, add managed capacity where judgment or throughput is constrained, or combine both without changing the system of record.
01
Software-led
Your engineers and operators use Mission Control, APIs, and SDKs to run the loop in-house.
02
Managed execution
Add trained capacity for collection, labeling, and review while workflow, policy, and quality remain visible in Avala.
03
Hybrid by design
Keep domain decisions with your experts and scale repeatable work through Avala without another handoff.
Build the loop
Make every dataset improve the next model.
Bring us your sensor stack, training workflow, and hardest data bottleneck. We’ll map the shortest path to a repeatable model-improvement loop.