AvalaAvala
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Turning entropy intoAlignment.

The unified data engine for Physical AI. Fuse sensors, labels, and feedback into one traceable ground truth.

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Backed by
Wonder VenturesMaC Venture CapitalFlybridge CapitalValor Equity Partners
Mission Control

One workspace for managing, labeling, and evaluating physical-world data

SOC 2 Type II
GDPR & EU Data Privacy
ISO 27001
TISAX
Auto-labels per day
>0B
On-demand labelers
>0
First-Pass-Yield
>0%

One Pipeline. Full Traceability.

Avala is the single workspace where every frame, label, and policy stays linked, so any model behavior traces back to the data that caused it. No more context leaks, lost calibration data, or drifting models.

Manage

Sort, search, and organize millions of assets in a secure BYO cloud workspace.

Visualize

Curate balanced slices and inspect label quality before models ever train.

Annotate

Scale expert human-in-the-loop annotation via a 15,000+ person global network.

Train

Train models on aligned data with QA baked in as a first principle.

Deploy

Deploy confidently, tracing performance and drift back to your data.

Built for the Full AI Lifecycle

One platform that connects your data, your labeling teams, and your models—with complete traceability from raw input to production output.

Dataset Ops

Make your data work at scale

Manage massive sensor streams with built-in versioning, lineage tracking, and search—engineered for production workloads, not prototypes.

Connects to your stack

AWSAWS
Google Cloud PlatformGoogle Cloud Platform
Microsoft AzureMicrosoft Azure
SnowflakeSnowflake
PyTorchPyTorch
TensorFlowTensorFlow
Weights & BiasesWeights & Biases
GitHubGitHub
KerasKeras
SlackSlack
AWSAWS
Google Cloud PlatformGoogle Cloud Platform
Microsoft AzureMicrosoft Azure
SnowflakeSnowflake
PyTorchPyTorch
TensorFlowTensorFlow
Weights & BiasesWeights & Biases
GitHubGitHub
KerasKeras
SlackSlack
AWSAWS
Google Cloud PlatformGoogle Cloud Platform
Microsoft AzureMicrosoft Azure
SnowflakeSnowflake
PyTorchPyTorch
TensorFlowTensorFlow
Weights & BiasesWeights & Biases
GitHubGitHub
KerasKeras
SlackSlack
AWSAWS
Google Cloud PlatformGoogle Cloud Platform
Microsoft AzureMicrosoft Azure
SnowflakeSnowflake
PyTorchPyTorch
TensorFlowTensorFlow
Weights & BiasesWeights & Biases
GitHubGitHub
KerasKeras
SlackSlack

Why Teams Choose Avala

Avala
Others
Data Quality

5× More Data

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

LiDAR2.5y
3D Box2.1y
Seg1.8y

Domain Experts

Dedicated annotators who specialize in your domain for 12+ months

Diversity Built In

Environments, lighting, and edge cases systematically covered—not just volume

Unified Context

Frames, labels, and models in one platform—trace every output to its source

Embedded Engineers

Senior FDEs from Tesla and Waymo integrate directly into your Slack and repos

v2.4
Week 4
v2.3
Week 3
v2.2
Week 2
v2.1
Week 1
Platform

Fast Iteration

Pilot datasets in weeks, not quarters—iterate at the speed your models need

SOC 2GDPRISO 27001TISAX
Enterprise

Enterprise Security

SOC 2 Type II, GDPR, ISO 27001, and TISAX certified with on-prem deployment options

Predictable Pricing

Usage-based pricing that scales with your needs—no hidden fees, no lock-in

Impact Sourcing

1,000+ operators with career paths and fair wages—less turnover, better data

See It In Action

Whether you want a guided walkthrough or prefer to explore on your own, we'll show you what a connected AI pipeline actually looks like.

Learn MoreBook a Demo