Weights & Biases is an AI developer platform that provides tools for building, tracking, and managing AI agents, applications, and machine learning models. The company's platform, available at wandb.com, is widely used by teams developing advanced AI systems, offering solutions across LLMOps and MLOps workflows.
What does Weights & Biases offer?
Weights & Biases offers a suite of products designed to support the entire lifecycle of AI development:
- W&B Weave: A solution for building agentic AI applications, providing LLMOps capabilities such as exploring and debugging AI agents, evaluating models, and monitoring live AI system behavior.
- W&B Models: MLOps platform for experiment tracking, hyperparameter optimization, and visualizing machine learning results.
- Registry: Enables publishing and sharing of ML models and datasets for better collaboration.
- Artifacts: Facilitates versioning and management of ML pipelines.
- Reports: Tools for data visualization and reporting on experiments and outcomes.
- SDK: For logging experiments, artifacts, and results within ML workflows.
- Automations: Allows users to trigger workflows and streamline repetitive ML tasks.
- Inference: Provides exploration of hosted, open-source large language models (LLMs) on reliable infrastructure.
Who uses Weights & Biases?
Weights & Biases serves a diverse range of organizations, from innovative startups to global enterprises, particularly those focused on AI and machine learning. Notable customers include:
- Canva
- Microsoft
- Toyota
- OpenAI
- AstraZeneca
- Bayer
- BMW
- Meta
- NVIDIA
- RBC
- Salesforce
- Samsung
- Siemens
- Snowflake
- Together AI
- Wayve
- Rime Labs
These organizations leverage Weights & Biases to streamline model development, ensure reproducibility, and maintain oversight of complex AI projects.
What makes Weights & Biases different?
Weights & Biases stands out for its comprehensive support of both agentic AI applications and traditional machine learning workflows. The integration of observability, rigorous evaluation, and experiment tracking allows teams to build, debug, and deploy AI systems with greater confidence and traceability. Recent product updates, such as live infrastructure observability and real-time scoring of deployed AI agents, further enhance its value for operational AI teams.
How was Weights & Biases started and who leads the company?
Weights & Biases was co-founded by Lukas Biewald (CEO), Chris Van Pelt (CISO), and Shawn Lewis (CTO), bringing together deep expertise in AI, engineering, and product development. The leadership team also includes Cameron Kinloch (CFO), Robin Bordoli (CRO), Mariah Nagy (Chief People Officer), Phil Gurbacki (VP of Product), Seann Gardiner (VP of Business Development), Adrian Swanberg (VP of Engineering), Lavanya Shukla (VP of AI), and Mike Saparov (SVP of Technology). Their combined experience drives the company's focus on building robust, scalable tools for the AI community. More details can be found on their About page.
What are recent developments at Weights & Biases?
Recent product announcements include:
- Infrastructure Observability: Integration with CoreWeave's Mission Control for real-time GPU and network alerts directly in W&B dashboards.
- W&B Weave Online Evaluations: Enables teams to monitor, score, and improve AI agent behavior in production.
- W&B Inference powered by CoreWeave: Offers a unified console for exploring open-source LLMs, with reliable GPU access and a public preview. Further details can be found in their latest news here.
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