Avala vs Rerun
Rerun is an open-source multimodal data visualization SDK for developers. Avala is production data infrastructure — annotation, workforce, curation, and deployment for Physical AI at enterprise scale.
Feature Comparison
Avala | Rerun | |
|---|---|---|
| Platform Type | Unified data engine — ingestion, annotation, curation, and model ops in one platform | Open-source multimodal data visualization SDK |
| Data Types Supported | Full 4D sensor fusion: LiDAR, radar, camera, IMU, ultrasonic, thermal, and GPS/GNSS | Broad visualization support — 2D, 3D, time-series, and multi-modal logging |
| Annotation Capabilities | Native 2D, 3D, and 4D annotation with multi-frame temporal tracking and Gaussian Splatting scene reconstruction | Programmatic annotation context for visualization (labels, colors, keypoints) — not a data labeling tool |
| Workforce / Human-in-the-Loop | 15,000+ managed annotators with domain expertise across automotive, robotics, and industrial verticals | N/A — Rerun is a developer SDK, not a data labeling platform |
| Security & Compliance | SOC 2 Type II, ISO 27001, ITAR-compliant with air-gapped deployment options | Self-hosted (open-source) — full control over data |
| Deployment Options | Cloud, on-prem, hybrid, and air-gapped edge deployment with identical feature parity | Local/self-hosted open-source SDK |
| Physical AI Specialization | Purpose-built for Physical AI: deterministic 4D Engine, physics-grade ground truth, and sensor-native tooling | Development-time visualization — no production data infrastructure or annotation capabilities |
| Pricing Model | Transparent per-unit pricing with no platform fees and volume discounts | Open-source core, commercial plans for team features |
Key Differentiators
Production infrastructure vs developer tool
Rerun is a development-time SDK for logging and visualizing multimodal data with programmatic annotation overlays. Avala is where that data goes next — production annotation pipelines, managed workforce labeling, and enterprise deployment for model training.
Annotation + workforce built in
Rerun helps you see your data. Avala helps you label it at scale with 15,000+ trained annotators, native 4D annotation tooling, and quality assurance workflows designed for Physical AI ground truth.
Enterprise-grade data operations
Rerun focuses on the developer experience. Avala provides enterprise data ops — versioned datasets, compliance workflows, air-gapped deployments, and end-to-end lineage tracking from raw sensor data to trained models.
Why teams choose Avala
Teams choose Avala when they need to move from development-time visualization to production data infrastructure. Rerun is excellent for exploring and debugging data; Avala operationalizes that data into annotated, curated, production-ready datasets for Physical AI.
Ready to see the difference?
Book a demo and we'll show you how Avala delivers production-grade ground truth for Physical AI.
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