Build better AV models faster with Weights & Biases

Build better models faster with experiment tracking, dataset versioning, and model management in a single, shared source of truth across your team

Trusted by some of the most innovative AV companies and teams in the world

Explore how Lyft Level 5 trains models to fuse camera and LiDAR sensors with W&B
Learn how the team at Rivian streamlines its autonomous vehicle development process in this webinar
Learn how Woven Planet uses W&B Tables to uncover corner cases and failure points

A single source of truth for all your AV models

Weights & Biases makes it easy to track and understand changes across all your autonomous vehicle experiments – from updated hyperparameters to changes in the training data. Now your organization can join teams from Lyft, BMW, Nuro, Zoox and more to compare and reproduce models, understand results, and iterate quickly without worrying about losing vital work.

Compare and share model performance with your team

The data engineer working on street annotations can pass the latest updates to the data scientists optimizing models. They can then analyze edge cases and highlight regressions, all using W&B tools.

Lyft fuses sensor modalities with Weights & Biases

W&B helps you overcome the complexity of blending modalities—compare model performance across different sensor fusion strategies and augment data to avoid overfitting. See how Lyft fused LiDAR and camera data to test different fusion strategies and improve accuracy of 3D detection models.
Examples

Integrate seamlessly with your tech stack

W&B is SOC 2 Type II compliant with robust enterprise-grade information security policies. Our SaaS offering is fully GDPR-compliant and Privacy Shield-certified. W&B also supports enterprise installations in private cloud and on-prem clusters that can plug in easily with other tools in your ML workflow.

Secure, private, and reliable

Data privacy and security is a cornerstone of Weights & Biases. Our platform is SOC2-compliant, easily deployed in private cloud or on-prem clusters, and scales with your needs.Everything you log to Weights & Biases is yours, including your training data, code, configuration and hyperparameters, output metrics, analysis, and saved model files. You can log, export, publish, or delete anything you’ve tracked.

Flexible, extensible, and customizable

Different teams need different functionality. That’s why we’ve built a simple, powerful platform with convenient defaults and simple-to-use interfaces, all backed by a rich Python API for any advanced analysis you need.

From how we fit into your MLOps stack to how you pull data from your vehicles to how you compare the changes to your AV models, you can be confident W&B integrates easily with how your team works and help you push better models to production, faster.

See W&B in action

The Weights & Biases platform helps you streamline your workflow from end to end

Models

Experiments

Track and visualize your ML experiments

Sweeps

Optimize your hyperparameters

Registry

Publish and share your ML models and datasets

Automations

Trigger workflows automatically

Weave

Traces

Explore and debug LLMS

Evaluations

Rigorous evaluations of GenAI applications

Core

Artifacts

Version and manage your ML pipelines

Tables

Visualize and explore your ML data

Reports

Document and share your ML insights

SDK

Log ML experiments and artifacts at scale

The Weights & Biases platform helps you streamline your workflow from end to end

Models

Experiments

Track and visualize your ML experiments

Sweeps

Optimize your hyperparameters

Registry

Publish and share your ML models and datasets

Automations

Trigger workflows automatically

Weave

Traces

Explore and
debug LLMs

Evaluations

Rigorous evaluations of GenAI applications

Core

Artifacts

Version and manage your ML pipelines

Tables

Visualize and explore your ML data

Reports

Document and share your ML insights

SDK

Log ML experiments and artifacts at scale

Accelerate and scale your AV model development with Weights & Biases