Customers & case studies
Geoff Breemer
Senior MLE – Canva
“Weave enables our engineers to score changes to product features using different LLMs under the hood. This allows them to make an informed decision about which one to use, taking into consideration not just quality but also cost.”
Wojciech Zaremba
OpenAI – Cofounder
“W&B allows us to scale up insights from a single researcher to the entire team and from a single machine to thousands.”
Adrien Gaidon
Toyota Research Institute – Director of Machine Learning
“W&B was fundamental for launching our internal machine learning systems, as it enables collaboration across various teams.”
The world’s leading AI teams trust Weights & Biases
Customer stories
The daily loop: How NEURA Robotics iterates on industry-leading physical AI
“I’m literally sitting in my office with the gym downstairs below me. In robotics, you have to face the application early and get slapped in the face as often as possible to understand what needs improving.”
JetBrains + Weights & Biases: Establishing frameworks and best practices for enterprise AI agents
“The most obvious outcome that we got from using W&B as our observability provider for running our agent evaluation was figuring out that some of our core AI algorithms that we developed was not working correctly. By looking at the logs in the console, we realized there are some issues and we had to rework the whole algorithm.”
How RadAI Uses Weights & Biases to Ship Production ML Models Faster
“The pipeline we built, which has W&B registry as its first step, allowed us to reduce the need for synchronization across researchers and software engineers on the ML organization – less meetings, less documents.”
How Decart built Oasis 3, the first API-accessible world model for faster, more effective, and scalable robotic learning
“Our partnership with CoreWeave has enabled us to run NVIDIA HGX B200 at production scale and push the boundaries of training and inference, while delivering seamless interactive video experiences via the CoreWeave stack.”
How Scaled Cognition built reliable LLMs for regulated industries with Weights & Biases
How Upstage proved the origin of their leading AI model–and set a new standard for reproducible model development
“Weights & Biases became our organization’s memory. For a government-backed project, that kind of transparent, auditable record isn’t optional — it’s what makes the work credible.”
ReelData x Weights & Biases: The impact of AI on sustainable land-based aquaculture
“Tying into Weights & Biases allows us a single source of truth. If we’re training a model, it automatically gets to the platform, artifacts are generated, the dashboards are there. When I took over as the head of AI, I was able to just simply go into Weights & Biases and get up to speed really quickly.”
Multi-domain large language model adaptation using synthetic data generation at Shell
“We built a custom dashboard using Weights & Biases for all our experiment logging, and a lot of critical hyperparameter tuning using W&B Sweeps to explore impact and sensitivity.”
How IBM accelerates their AI workflow with Weights & Biases
The AI that solves the market: LG AI Research presents a new era in financial forecasting with natural language explainability
“Efficient management of learning trajectories is crucial for optimal performance, and we were able to accelerate improvements and achieve state-of-the-art performance within just a month – W&B was an integral part of EXAONE Deep’s success.”
Fueling ML innovation at scale: Inside Pinterest’s machine learning platform
“We’ve integrated Weights & Biases for all our experiment tracking across the organization, in addition to relying on the W&B Registry for model management”