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Feature Comparison

How Avala works with Rerun

Rerun is an open-source SDK for logging and visualizing multimodal robotics data. Avala is the independent infrastructure that takes that data through reconstruction, labeling, verification, and versioned release—on your data, with training and deployment under your control.

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Feature Comparison

Feature
Avala
Rerun
Platform TypeIndependent infrastructure connecting sensor ingest, visualization, labeling, QC, dataset releases, training handoff, and feedback workflowsOpen-source multimodal data visualization SDK
Data Types SupportedSensor-native workflows for synchronized camera, LiDAR, radar, video, and supporting telemetryBroad visualization support — 2D, 3D, time-series, and multi-modal logging
Annotation CapabilitiesHuman and AI labeling across 2D, 3D, and temporal sensor workflows with configurable quality controlProgrammatic annotation context for visualization (labels, colors, keypoints) — not a data labeling tool
Workforce / Human-in-the-LoopOptional managed operations connected to the same dataset records and quality workflowsN/A — Rerun is a developer SDK, not a data labeling platform
Security & ComplianceData boundaries, access controls, retention, and deployment requirements scoped with each programSelf-hosted (open-source) — full control over data
Deployment OptionsAvala Cloud today; BYOS keeps source data in your bucket and region. Dedicated deployments on request.Local/self-hosted open-source SDK
Physical AI SpecializationPurpose-built for the Physical AI data-to-model loop, from sensor ingest through drift and re-labelingOpen-source SDK for logging and visualizing multimodal robotics data; supervised annotation and managed quality operations are not its focus
Pricing ModelScoped to data, workflow, infrastructure, and optional operations requirementsOpen-source core, commercial plans for team features

Why teams choose Avala

Key Differentiators

Where Rerun ends and Avala begins

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 the versioned handoff to your training.

Annotation + workforce built in

Rerun helps you see your data. Avala helps you label it at scale with 15,000+ registered coworkers, 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, BYOS that keeps source data in your bucket and region, and end-to-end lineage from raw sensor data to the training handoff.

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Why teams choose Avala

Teams choose Avala when they need to move from development-time visualization to independent infrastructure. Rerun lets you explore data during development; Avala operationalizes that data into annotated, curated, production-ready datasets for Physical AI.

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Ready to see the difference?

Book a demo and we'll map how Avala connects your sensor data, quality operations, dataset releases, and production models.

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