# Weights & Biases **Source:** https://geo.sig.ai/brands/weights-biases **Vertical:** AI & Machine Learning **Subcategory:** MLOps **Tier:** Challenger **Website:** wandb.ai **Last Updated:** 2026-04-14 ## Summary MLOps platform with $1.25B valuation used by OpenAI and NVIDIA; experiment tracking, model versioning, and LLM evaluation competing with MLflow and Comet for AI development teams. ## Company Overview Weights & Biases (W&B) is the leading MLOps and AI developer platform for tracking machine learning experiments, visualizing training runs, managing model versions, and evaluating AI model performance — providing infrastructure that data scientists and ML engineers use to build, train, and deploy machine learning models systematically. Founded in 2018 by Lukas Biewald, Chris Van Pelt, and Shawn Lewis in San Francisco, Weights & Biases has raised approximately $250 million at a $1.25 billion valuation and is used by major AI labs and enterprise ML teams including OpenAI, NVIDIA, and Samsung.\n\nW&B's core product Wandb (the MLOps platform) provides experiment tracking that automatically logs model hyperparameters, training metrics, hardware utilization, and output artifacts — enabling data scientists to compare hundreds of training runs, identify which configurations produce better results, and reproduce experiments months later. Artifacts manages model versioning and dataset versioning with lineage tracking. Sweeps automates hyperparameter optimization by running parallel experiments across configuration spaces.\n\nIn 2025, Weights & Biases has evolved from experiment tracking into a comprehensive AI development platform — W&B Prompts addresses LLM prompt versioning and evaluation, W&B Launch enables compute-agnostic ML job orchestration, and W&B Reports provides narrative-rich ML research documentation. The company competes with MLflow (open-source, Databricks), Comet ML, Neptune.ai, and AWS SageMaker Experiments for MLOps platform share. W&B's 2025 strategy focuses on the AI era — expanding its LLM evaluation capabilities (comparing outputs across model versions and prompts), growing its enterprise adoption among companies fine-tuning foundation models, and deepening integrations with major GPU cloud providers (CoreWeave, Lambda Labs, Together AI) where AI training is concentrated. ## Frequently Asked Questions ### What is Weights & Biases? Weights & Biases Weights & Biases serves ML teams as experiment tracking and model management platform, $1B+ valuation, following 2017 Lukas Biewald founding with Chris Van Pelt in San Francisco ### When was Weights & Biases founded? Weights & Biases was founded in 2017 in San Francisco, California. Lukas Biewald and Chris Van Pelt (Figure Eight) founded Weights & Biases in San Francisco in 2017 as experiment tracking and MLOps platform for model management with hyperparameter tuning, visualization, collaboration, and reproducibility offering W&B Sweeps, Tables, Reports, Artifacts, and model registry reaching $1B+ valuation with Series C $200M serving deep learning teams for research to production deployment with integration to PyTorch and TensorFlow. ### What are Weights & Biases's major milestones? Weights & Biases's history includes several key milestones: 2017: Weights & Biases Founded SF 2020: Series B $45M 2021: Series C $200M $1B valuation 2024: MLOps Platform ### What is Weights & Biases's mission? Weights & Biases's mission is to Build tools for machine learning teams. ### Who founded Weights & Biases? Weights & Biases was founded by Lukas Biewald. Figure Eight founders who built ML experiment tracking platform ### What products or services does Weights & Biases offer? Weights & Biases Weights & Biases serves ML teams as experiment tracking and model management platform, $1B+ valuation, following 2017 Lukas Biewald founding with Chris Van Pelt in San Francisco ### Who uses Weights & Biases? Weights & Biases Weights & Biases serves ML teams as experiment tracking and model management platform, $1B+ valuation, following 2017 Lukas Biewald founding with Chris Van Pelt in San Francisco ### How does Weights & Biases pricing work? Weights & Biases offers a free Personal tier with 100 GB of storage and unlimited tracked experiments for individual researchers. The Teams plan starts at $50/user/month with shared workspaces, advanced access controls, and priority support. Enterprise contracts include private cloud or on-premise deployment, SSO, audit logs, and SLA guarantees — pricing is negotiated based on seat count and storage requirements. ## Tags b2b, ai-powered, developer-tools, unicorn, saas, platform --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*