Introduction
Lucitra Validate is an API-first platform that validates synthetic training data for robotics and autonomous systems. It scores your data across four dimensions, catches issues before they reach production, and provides a full compliance engine for regulated industries.Lucitra Validate works with data from any simulator — Isaac Sim, CARLA, AirSim, Unity, or your own rendering pipeline.
Validation Dimensions
Every dataset is scored from 0 to 100 across four dimensions, plus an overall composite score.Coverage
Measures whether your dataset adequately covers the scenarios, object classes, edge cases, and environmental conditions required for your use case.
Physics Plausibility
Detects physically impossible artifacts — objects intersecting geometry, impossible lighting conditions, unrealistic material properties, and gravity violations.
Distribution Quality
Evaluates class balance, spatial distribution of annotations, and statistical properties of your dataset to identify skew and blind spots.
Sim-to-Real Gap
Quantifies how well your synthetic data aligns with real-world distributions, flagging domain gaps that will degrade model performance after deployment.
Key Capabilities
Data Format Support
Lucitra Validate natively supports the most common annotation formats in robotics and autonomous systems:- COCO — object detection, instance segmentation, keypoints
- KITTI — 3D bounding boxes, point clouds, stereo pairs
- nuScenes — multi-sensor, multi-frame sequences with ego pose
- Custom — bring your own schema with format adapters
Compliance Engine (Enterprise)
For teams operating in regulated environments, Lucitra provides a full compliance pipeline:- Audit trail — immutable log of every validation run, configuration change, and approval
- Provenance tracking — trace any data point back to its simulation parameters and source scene
- Model cards — auto-generated documentation linking training data to model lineage
- Regulatory reports — pre-built templates for EU AI Act, FDA 21 CFR Part 11, and ISO 26262
Observability
- Drift detection — continuous monitoring flags when new data deviates from established baselines
- Revalidation triggers — automatically re-run validation when upstream data or configurations change
Integrations
- REST API — full programmatic access to all platform capabilities
- CLI — run validations from your terminal or CI/CD pipeline
- MCP Server — connect Lucitra to AI coding assistants and agent workflows
- Webhooks — push notifications with native Slack and Microsoft Teams message formatting
What You Can Build
CI/CD Quality Gates
Block merges when synthetic data fails validation thresholds. Run
luci validate in your pipeline and fail the build if scores drop below your configured baselines.Sim-to-Real Pipelines
Close the loop between simulation and deployment. Use sim-to-real gap scores to automatically tune domain randomization parameters in your renderer.
Regulatory Submissions
Generate audit-ready compliance reports that link every training data point to its provenance, validation scores, and approval chain.
Data Monitoring Dashboards
Track validation scores over time, detect distribution drift, and trigger alerts when data quality degrades across retraining cycles.
Next Steps
Quickstart
Get your first validation running in under 5 minutes.
Authentication
Learn how API keys, rate limits, and enterprise tiers work.