AVAI Data Agent
Complete MLOps for Autonomous Systems
One platform from raw sensor data to production model. Calibrate sensors, ingest and curate petabytes of drive data, annotate in 2D and 3D, train on GPU clusters, and deploy to edge — all in a single pipeline.
The Pipeline
Five Stages, One Platform
Each stage of the MLOps lifecycle is purpose-built for autonomous driving data. No more stitching together disconnected tools.
Calibrate
Sensor Alignment & Validation
Multi-sensor extrinsic and intrinsic calibration for camera, LiDAR, radar, and IMU. Automated target detection, reprojection error analysis, and calibration health monitoring across your entire fleet.
Ingest
Data Pipeline & Curation
High-throughput data ingestion from vehicle to cloud. Automated data validation, deduplication, scene classification, and intelligent curation to surface the most valuable training samples from petabytes of raw drive data.
Annotate
2D & 3D Labeling at Scale
Production-grade annotation for autonomous driving. 2D bounding boxes, 3D cuboids, semantic/instance segmentation, lane markings, and temporal tracking across camera and LiDAR data — with built-in QA workflows.
Review
Quality Assurance & Validation
Rigorous multi-tier review pipelines ensure every annotation meets production quality standards before it enters your training data.
Train & Deploy
Model Training, Optimization & Edge Deployment
Managed training infrastructure with experiment tracking, hyperparameter optimization, and distributed training across GPU clusters. Version your datasets, compare runs, and track model lineage from data to deployment.
Platform Capabilities
Built for Autonomy
Purpose-built tools for the unique challenges of autonomous vehicle data — multi-modal sensors, massive scale, and safety-critical quality requirements.
Sensor Fusion Labeling
Annotate synchronized camera, LiDAR, and radar data in a unified 3D workspace. Labels propagate across sensor modalities automatically.
Active Learning
AI-assisted annotation with model-in-the-loop. Pre-label with your existing models, then human annotators correct and refine — accelerating throughput by 3-5x.
Version Control & Lineage
Full traceability from raw drive to production model. Track every dataset version, annotation iteration, training run, and deployed artifact in one system.
Quality Assurance
Multi-tier review workflows with consensus scoring, inter-annotator agreement metrics, and automated validation rules that catch errors before they reach training.
Scalable Infrastructure
Cloud-native architecture that scales from prototype datasets to production-scale petabyte pipelines. Pay for what you use with no infrastructure management overhead.
API & SDK Access
Programmatic access to every stage of the pipeline. Integrate with your existing CI/CD, trigger training from annotation completion, and automate model deployment workflows.
Compatibility
Export in Any Format
Native support for all major autonomous driving dataset formats. Custom export pipelines for proprietary formats.
KITTI
Benchmark standard
COCO
Detection & segmentation
nuScenes
Multi-modal 3D
Waymo Open
Large-scale AV
Argoverse
HD maps + tracking
CVAT XML
Open annotation
Pascal VOC
Classic detection
Custom
Your format
Get Started with AVAI Data Agent
Stop stitching together disconnected tools. AVAI Data Agent is the complete MLOps platform purpose-built for autonomous systems.