Avala

What is Avala?

Avala is a data platform for teams building physical AI, robotics and autonomous systems. It combines a GPU-accelerated browser viewer for cameras, LiDAR, radar, MCAP and ROS recordings and Gaussian Splat scenes with annotation tools such as bounding boxes, polygons, 3D cuboids, segmentation, keypoints and video tracking. Quality control supports multi-stage review, consensus workflows and annotator metrics, and managed labeling is available when you want a workforce to do the labeling. Dataset management covers querying, slices, custom metadata and, on higher plans, embeddings, similarity search and versioning. Developers can work through a REST API, Python and TypeScript SDKs and an MCP server for AI coding assistants. Pricing is usage-based and measured in annotation units: the Hobby plan includes the first 5,000 annotation units free, and Pro, Teams and Enterprise are handled through the sales team.

Use cases

• Annotate LiDAR and 3D point clouds
• Label images and video for perception models
• Visualize multi-sensor MCAP and ROS recordings
• Run multi-stage quality review on labels
• Manage and version training datasets
• Export labeled data to ML pipelines

Who it's for

• Robotics teams
• Autonomous vehicle developers
• ML engineers
• Data operations teams

Why use Avala

• Brings viewing, labeling, review and export together in the browser, so recordings do not move between tools.
• Handles 3D and multi-sensor data natively, including LiDAR, MCAP/ROS and Gaussian Splat.
• Charges by usage, which suits a small pilot before scaling to a fleet.
• Supports API and SDK access, so labeling and exports can be scripted.
• Lists SOC 2 and GDPR support on all plans.

Avala features

• WebGPU-based multi-sensor viewer with six point-cloud visualization modes
• MCAP and ROS synchronized playback
• Gaussian Splat 3D scene rendering
• Annotation of images, video, LiDAR, MCAP and Gaussian Splat data
• Multi-stage review, consensus workflows and annotator performance metrics
• Model-assisted labeling and auto-labeling tools on Pro and above
• Managed labeling workforce option
• Dataset querying, slices, custom metadata and similarity search
• Fleet tools including device registry, recording rules and alert routing
• REST API plus Python and TypeScript SDKs
• MCP server for AI coding assistants

Avala integrations

• AWS S3
• Microsoft Azure
• Snowflake
• Databricks
• Claude
• Cursor
• VS Code

How to get started with Avala

1. Create an account, get an API key if you want programmatic access, and upload or connect your recordings and datasets.
2. Explore data in the multi-sensor viewer and set up projects with your label ontology.
3. Annotate in the browser or use managed labeling, and apply review and consensus workflows for quality.
4. Export labels and datasets to your training pipeline through the UI, API or SDKs.

Avala limitations

• Hobby is limited to one user, up to 10 projects and a cap on annotation units.
• Snowflake, Databricks, HIPAA, FedRAMP and SSO are add-ons or higher-tier features depending on the plan.
• Only the Hobby free allowance is stated; other prices are given through sales.

Avala pricing

Yes, Avala has a free plan.

Avala plans

• Hobby

  First 5,000 AUs free

  pay-as-you-go after the free allowance

  • Single user
  • Community support
  • GSplat visualizer
  • Unlimited open-source datasets

• Pro

  Price on vendor site

  Contact Sales

  • Single user
  • Dataset management and automation
  • Email support
  • Model-assisted labeling

• Teams

  Price on vendor site

  minimum 3 seats, billed annually

  • Private cloud integrations
  • Customer Success Manager
  • Unlimited users
  • Private ontologies

• Enterprise

  Custom

  Contact Sales

  • Volume discounts and invoicing
  • SSO/SAML and 2FA
  • Custom security and compliance reviews
  • 4D reconstruction pipeline

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Avala alternatives

The main Avala alternatives listed on Debuly are CVAT, Label Studio, Encord, Crowdworks AI, Oxen.ai and Sigma AI. The table compares pricing and platforms; order is A–Z.

1. 

   Crowdworks AI

   AI data labeling platform and managed labeling service, plus enterprise tools for building and evaluating AI agents.

   Developer platformsAutomation and agents
   Contact salesVisit Crowdworks AI (official site)
2. 

   CVAT

   Open-source annotation platform for labeling images, video, audio and 3D data, available hosted or self-hosted.

   Developer platformsAutomation and agents
   FreemiumVisit CVAT (official site)
3. 

   Encord

   Multimodal data platform for AI teams to curate, annotate and evaluate image, video, DICOM, audio, document and text data.

   Developer platformsAutomation and agentsResearch and search
   Contact salesVisit Encord (official site)
4. 

   Label Studio

   Open source data labeling platform for images, video, audio, text and time series, with paid Starter Cloud and Enterprise editions.

   Developer platformsAutomation and agents
   Open sourceVisit Label Studio (official site)
5. OA

   Oxen.ai

   One API for 200+ AI models plus versioned data repositories, fine-tuning and dedicated GPUs for building on your own data.

   Developer platformsImage generationVideoAudio and voice
   PaidVisit Oxen.ai (official site)
6. SA

   Sigma AI

   Human-supervised training data, annotation and independent evaluation services for teams building AI models and agents.

   Developer platforms
   Contact salesVisit Sigma AI (official site)

Avala FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from avala.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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