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
| Feature | Avala | Rerun | Foxglove | Labelbox | Scale AI | CVAT | Label Studio |
|---|---|---|---|---|---|---|---|
| Visualization | |||||||
| Multi-Sensor Viewer | Native | SDK-based | Native | ||||
| Point Cloud Viz Modes | 6 modes | Custom | Basic | Basic | |||
| WebGPU Rendering | |||||||
| MCAP/ROS Native | Native | Native | Limited | ||||
| Gaussian Splat | |||||||
| Configurable Panels | 8 types | Custom | 20+ | ||||
| Timeline Sync | |||||||
| Annotation | |||||||
| 3D/LiDAR Annotation | Native | Add-on | Basic | ||||
| Annotation Tools | Full suite | ||||||
| Video Tracking | |||||||
| QC Workflows | Basic | Basic | |||||
| Fleet & Observability | |||||||
| Device Registry | |||||||
| Recording Rules | |||||||
| Timeline Events | |||||||
| Alert Routing | |||||||
| Custom Panels SDK | Custom | 20+ | |||||
| Diagnostics Panel | |||||||
| Platform | |||||||
| Managed Labeling | Partners | ||||||
| Python & TS SDKs | Python | Python + TS | Python + limited JS | Python | REST | Python | |
| MCP Server | |||||||
| White-Glove | Enterprise | Enterprise | |||||
| Embedded Engineers | |||||||
| Transparent Pricing | Free | Free tier | Free | Free | |||
| Setup Time | < 1 min | Minutes | Minutes | Hours | Days | Hours | Hours |
Avala vs Rerun
Rerun is a developer SDK for logging and visualizing multimodal data during development. You install the Rerun SDK, instrument your code withrr.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.
| Avala | Rerun | |
|---|---|---|
| Primary Use | Production data workflows — visualize, annotate, review, export | Development-time logging and visualization |
| Data Ingestion | Upload files (MCAP, PCD, images, video) via UI or API | Instrument code with SDK logging calls |
| Visualization | Browser-based, 8 panel types, 6 point cloud modes, WebGPU | Native viewer, custom visualizations, WebGPU |
| Annotation | Full suite — boxes, polygons, cuboids, segmentation, keypoints, polylines | No annotation tools |
| Quality Control | Multi-stage review, consensus, acceptance workflows | No QC workflows |
| Collaboration | Team workspaces, role-based access, managed labeling | Individual developer tool |
| Export | COCO, YOLO, KITTI, Avala JSON, segmentation masks | Data recording export |
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.| Avala | Foxglove | |
|---|---|---|
| Data Visualization | Multi-sensor viewer with 8 panel types, WebGPU rendering | 20+ panel types with extension SDK |
| MCAP/ROS | Native import, visualization, annotation, and export | Native visualization and playback |
| Point Cloud Rendering | 6 visualization modes, WebGPU compute shaders | Basic point cloud visualization |
| Gaussian Splat | WebGPU-accelerated 3D scene rendering | Not supported |
| Annotation Tools | Bounding boxes, polygons, cuboids, segmentation, keypoints, polylines | No annotation tools |
| Managed Labeling | Professional labeling team available | No labeling services |
| Export Formats | COCO, YOLO, KITTI, Avala JSON, segmentation masks | Data recording export (MCAP) |
| Quality Control | Multi-stage review, consensus, acceptance workflows | No QC workflows |
| API & SDKs | Python, TypeScript, CLI, MCP server | Python, TypeScript |
Avala vs Labelbox
Labelbox focuses on 2D annotation, but Avala is built for teams working with complex, multi-sensor data.| Avala | Labelbox | |
|---|---|---|
| Data Visualization | GPU-accelerated multi-sensor viewer, 3D point cloud rendering | Basic image/video preview |
| 3D Annotation | Native LiDAR cuboids, bird’s-eye view, point cloud tools | Requires add-ons, limited 3D support |
| Multi-Sensor | MCAP/ROS with synchronized camera + LiDAR | Manual setup, no native MCAP |
| Managed Services | In-house labeling team available | Third-party partner network |
| AI Integration | MCP server for Claude, Cursor, VS Code | No AI assistant integration |
| Pricing | Transparent, self-service | Sales call required |
Avala vs Scale AI
Scale AI offers managed labeling but limits the flexibility and control teams need.| Avala | Scale AI | |
|---|---|---|
| Data Visualization | Full multi-sensor viewer with WebGPU rendering | No visualization tools |
| Control | Full platform access + optional managed services | Primarily managed services |
| Turnaround | Real-time for self-service, fast for managed | Queue-based, variable timelines |
| Pricing | Transparent per-item pricing | Custom quotes, minimum commitments |
| Your Data | You own and control everything | Data passes through Scale’s workforce |
| Onboarding | Same-day setup, white-glove available | Weeks of scoping and contracts |
Avala vs CVAT
CVAT is free and open-source, but you pay in engineering time and missing features.| Avala | CVAT | |
|---|---|---|
| Data Visualization | GPU-accelerated viewers for all data types | Basic image/point cloud display |
| 3D/LiDAR | Native, production-ready | Basic, requires customization |
| MCAP/ROS | Built-in support | Not supported |
| Managed Labeling | Available | DIY only |
| Infrastructure | Fully managed cloud | Self-hosted, you maintain |
| Support | Dedicated team, white-glove option | Community forums |
| API/SDKs | Modern Python + TypeScript | Basic REST API |
Avala vs Label Studio
Label Studio is flexible but requires significant setup and lacks 3D capabilities.| Avala | Label Studio | |
|---|---|---|
| Data Visualization | Multi-sensor viewer, 3D point cloud viewer, Gaussian Splat viewer | Basic data preview |
| 3D Data | Native LiDAR, point clouds, Gaussian Splat | Not supported |
| Setup | Ready to use in minutes | Extensive configuration required |
| Templates | Optimized for ML workflows | Generic, build-your-own |
| Managed Services | Professional labeling team | None |
| Enterprise Support | White-glove onboarding | Paid support plans |
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