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Avala is the complete platform for physical AI data — combining GPU-accelerated visualization with production annotation workflows in a single tool. Whether you need to explore multi-sensor recordings, label training data, or manage quality at scale, Avala delivers.
New to Avala? Get started in under 60 seconds with our Quickstart guide, or contact us for white-glove onboarding.

Why Teams Choose Avala

5x More Data

Vertically integrated ops deliver 5x more real-world data for the same budget

Domain Experts

Dedicated annotators who specialize in your domain for 12+ months

3D & Multi-Sensor

Native visualization and annotation for LiDAR, MCAP/ROS, and Gaussian Splat — no plugins required

Fast Iteration

Pilot datasets in weeks, not quarters

Enterprise Security

SOC 2 Type II (in progress), GDPR data processing agreements available

Predictable Pricing

Usage-based pricing — no hidden fees, no lock-in

Quick Comparison

FeatureAvalaRerunFoxgloveLabelboxScale AICVATLabel Studio
Visualization
Multi-Sensor ViewerNativeSDK-basedNative
Point Cloud Viz Modes6 modesCustomBasicBasic
WebGPU Rendering
MCAP/ROS NativeNativeNativeLimited
Gaussian Splat
Configurable Panels8 typesCustom20+
Timeline Sync
Annotation
3D/LiDAR AnnotationNativeAdd-onBasic
Annotation ToolsFull suite
Video Tracking
QC WorkflowsBasicBasic
Fleet & Observability
Device Registry
Recording Rules
Timeline Events
Alert Routing
Custom Panels SDKCustom20+
Diagnostics Panel
Platform
Managed LabelingPartners
Python & TS SDKsPythonPython + TSPython + limited JSPythonRESTPython
MCP Server
White-Glove EnterpriseEnterprise
Embedded Engineers
Transparent PricingFreeFree tierFreeFree
Setup Time< 1 minMinutesMinutesHoursDaysHoursHours

Avala vs Rerun

Rerun is a developer SDK for logging and visualizing multimodal data during development. You install the Rerun SDK, instrument your code with rr.log() calls, and see your data in the Rerun viewer. It is focused on development-time debugging and exploratory data analysis. Avala is a production platform that combines visualization, annotation, quality control, and export in a single tool. You upload recordings, visualize them in the browser, annotate training data, review quality, and export to your ML pipeline.
AvalaRerun
Primary UseProduction data workflows — visualize, annotate, review, exportDevelopment-time logging and visualization
Data IngestionUpload files (MCAP, PCD, images, video) via UI or APIInstrument code with SDK logging calls
VisualizationBrowser-based, 8 panel types, 6 point cloud modes, WebGPUNative viewer, custom visualizations, WebGPU
AnnotationFull suite — boxes, polygons, cuboids, segmentation, keypoints, polylinesNo annotation tools
Quality ControlMulti-stage review, consensus, acceptance workflowsNo QC workflows
CollaborationTeam workspaces, role-based access, managed labelingIndividual developer tool
ExportCOCO, YOLO, KITTI, Avala JSON, segmentation masksData recording export
Bottom line: Use Rerun for development-time debugging and exploratory visualization. Use Avala for production data workflows where you need annotation, quality control, and export alongside visualization. Teams that need both visualization and labeling consolidate on Avala.

Avala vs Foxglove

Foxglove is a robotics data visualization tool with panel extensions and MCAP/ROS support, focused on exploring and debugging robot data. Avala provides the same core visualization capabilities — MCAP/ROS playback, multi-panel viewer, synchronized timeline, and configurable layouts — and adds a full annotation and data management platform on top. Avala’s panel types cover the most common robotics data streams, while also delivering annotation, quality control, and export workflows that Foxglove does not offer.
AvalaFoxglove
Data VisualizationMulti-sensor viewer with 8 panel types, WebGPU rendering20+ panel types with extension SDK
MCAP/ROSNative import, visualization, annotation, and exportNative visualization and playback
Point Cloud Rendering6 visualization modes, WebGPU compute shadersBasic point cloud visualization
Gaussian SplatWebGPU-accelerated 3D scene renderingNot supported
Annotation ToolsBounding boxes, polygons, cuboids, segmentation, keypoints, polylinesNo annotation tools
Managed LabelingProfessional labeling team availableNo labeling services
Export FormatsCOCO, YOLO, KITTI, Avala JSON, segmentation masksData recording export (MCAP)
Quality ControlMulti-stage review, consensus, acceptance workflowsNo QC workflows
API & SDKsPython, TypeScript, CLI, MCP serverPython, TypeScript
| Fleet & Observability | Fleet dashboard, device registry, recording rules, alerts, custom panels | Fleet dashboard, device registry, recording rules, alerts, 20+ panels + extension SDK | Bottom line: Both Avala and Foxglove offer fleet management and observability features. Avala adds annotation, QC, and export on top — so you can go from fleet monitoring to labeled training data in one platform. Already using Foxglove? Avala supports MCAP imports, so you can migrate at your own pace.

Avala vs Labelbox

Labelbox focuses on 2D annotation, but Avala is built for teams working with complex, multi-sensor data.
AvalaLabelbox
Data VisualizationGPU-accelerated multi-sensor viewer, 3D point cloud renderingBasic image/video preview
3D AnnotationNative LiDAR cuboids, bird’s-eye view, point cloud toolsRequires add-ons, limited 3D support
Multi-SensorMCAP/ROS with synchronized camera + LiDARManual setup, no native MCAP
Managed ServicesIn-house labeling team availableThird-party partner network
AI IntegrationMCP server for Claude, Cursor, VS CodeNo AI assistant integration
PricingTransparent, self-serviceSales call required
Bottom line: If you work with autonomous vehicles, robotics, or any 3D data, Avala is purpose-built for your workflow.

Avala vs Scale AI

Scale AI offers managed labeling but limits the flexibility and control teams need.
AvalaScale AI
Data VisualizationFull multi-sensor viewer with WebGPU renderingNo visualization tools
ControlFull platform access + optional managed servicesPrimarily managed services
TurnaroundReal-time for self-service, fast for managedQueue-based, variable timelines
PricingTransparent per-item pricingCustom quotes, minimum commitments
Your DataYou own and control everythingData passes through Scale’s workforce
OnboardingSame-day setup, white-glove availableWeeks of scoping and contracts
Bottom line: Avala gives you high-quality managed labeling with full platform control and transparent pricing.

Avala vs CVAT

CVAT is free and open-source, but you pay in engineering time and missing features.
AvalaCVAT
Data VisualizationGPU-accelerated viewers for all data typesBasic image/point cloud display
3D/LiDARNative, production-readyBasic, requires customization
MCAP/ROSBuilt-in supportNot supported
Managed LabelingAvailableDIY only
InfrastructureFully managed cloudSelf-hosted, you maintain
SupportDedicated team, white-glove optionCommunity forums
API/SDKsModern Python + TypeScriptBasic REST API
Bottom line: CVAT requires self-hosted infrastructure and engineering time for deployment and maintenance. Avala is fully managed, so your team can focus on ML.

Avala vs Label Studio

Label Studio is flexible but requires significant setup and lacks 3D capabilities.
AvalaLabel Studio
Data VisualizationMulti-sensor viewer, 3D point cloud viewer, Gaussian Splat viewerBasic data preview
3D DataNative LiDAR, point clouds, Gaussian SplatNot supported
SetupReady to use in minutesExtensive configuration required
TemplatesOptimized for ML workflowsGeneric, build-your-own
Managed ServicesProfessional labeling teamNone
Enterprise SupportWhite-glove onboardingPaid support plans
Bottom line: Label Studio provides flexible building blocks that require configuration. Avala is a complete, managed platform for physical AI data — ready to use out of the box.

Services

Self-Service Platform

Full access to Avala with all visualization and annotation tools. Perfect for teams who want control over their data exploration and labeling workflow.
  • GPU-accelerated data visualization (multi-sensor, 3D, Gaussian Splat)
  • All annotation tools (2D, 3D, video, segmentation)
  • Quality control and review workflows
  • API and SDK access
  • Team management and permissions

Managed Labeling

Our expert annotation team handles your labeling projects end-to-end.
  • Trained annotators for your domain
  • Quality assurance and review
  • Fast turnaround times
  • Scale up or down as needed

White-Glove Onboarding

Dedicated support to accelerate your team’s success.
  • Custom onboarding sessions
  • Workflow design consultation
  • Ontology and taxonomy setup
  • Ongoing technical support
  • Direct Slack/email access to our team

Talk to Us

Contact our team to discuss managed labeling or white-glove services

Get Started