Sensor-Fusion Data
for Autonomous Driving

Annotation and scenario evaluation for AV stacks – from 3D point clouds to the rare events that decide a release.

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Operational priorities

Perception data built around the long tail

The conditions that separate a durable data operation from a one-off labeling project.

The long tail sits unindexed in your drive logs

Petabytes of drive data hold the construction zones, occlusions, and rare agents your model needs, and no one can find them.

Tracking IDs that drift corrupt your temporal models

An object that silently switches identity at frame 400 poisons every prediction and planning model trained downstream.

Safety sign-off needs scenario-level numbers

Release gates need scenario-level evidence, and aggregate mAP curves don’t tell a safety board anything.

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Capabilities

What we deliver for autonomous vehicles teams

Multimodal data

Sensor-fusion annotation

Synchronize camera, LiDAR, and radar labels across complete sequences.

Curation

Targeted scene curation

Mine drive logs for rare scenarios before annotation spend begins.

Quality

Sequence-level QA

Audit tracking, geometry, and 2D–3D links across full clips.

Evaluation

Scenario evals

Measure each perception release against a fixed, human-graded scenario suite.

The Loop

The scenario loop

Curate the scenes that matter, label them to sequence-level consistency, and let the evals pick what comes next.

Sensor spec & taxonomy

Sensor rig, coordinate frames, object taxonomy, and QA thresholds agreed with your perception team before calibration.

Curated slices

Target scenarios mined from your drive logs, sampled by constraint rather than chance, and queued for annotation.

Fused annotation & QA

Camera-LiDAR-radar labeling with sequence-level consistency checks and per-class QA reporting on every batch.

Scenario evals

Each release is graded on the same scenario suite. The failures define the next curation target list.

One accountable partner

Built for the perception data lead

Curation, annotation, QA, and evals run on one platform, auditable at every step.

Bring one scenario class

Build frontier AI
on better data

Platform, experts, and workflows – unified in one secure infrastructure.