# Weights & Biases (W&B)

**Source:** https://www.startuphub.ai/startups/weights-biases-w-b
**Profile type:** Startup

> MLOps platform for tracking, visualizing, and collaborating on machine learning experiments.

## About

Weights & Biases (W&B) provides an MLOps platform that helps machine learning teams track experiments, visualize results, and collaborate effectively. It offers tools for experiment tracking, model versioning, dataset versioning, and hyperparameter sweeps, enabling faster iteration and better model development.

## Key facts

- **Slug:** weights-biases-w-b
- **Website:** https://wandb.ai/
- **Location:** San Francisco, United States
- **Founded:** 2017-01-01
- **Operating status:** Active
- **Total funding:** $521M
- **Sectors / tags:** MLOps, DataOps, Observability, Developer Tools, API Platform, Data Platform, Workflow Automation, Foundation Model, Generative AI, AI Infrastructure, AI Tool
- **Social:**
  - GitHub: https://github.com/facebook

## Frequently asked

### What does Weights & Biases (W&B) do?

Weights & Biases (W&B) provides an MLOps platform that helps machine learning teams track experiments, visualize results, and collaborate effectively. It offers tools for experiment tracking, model versioning, dataset versioning, and hyperparameter sweeps, enabling faster iteration and better model development.

### What is Weights & Biases (W&B)'s valuation?

StartupHub estimates Weights & Biases (W&B)'s effective valuation at $2.2B (range $1.3B to $3.1B, 10% confidence), based on comparable companies in the sector.

### How much funding has Weights & Biases (W&B) raised?

Weights & Biases (W&B) has raised a total of $521M in funding. The most recent round on record is Series C.

### Where is Weights & Biases (W&B) headquartered?

Weights & Biases (W&B) is headquartered in San Francisco, United States.

### When was Weights & Biases (W&B) founded?

Weights & Biases (W&B) was founded in 2017.

### What industry does Weights & Biases (W&B) operate in?

Weights & Biases (W&B) operates in MLOps, DataOps, Observability, Developer Tools, API Platform, Data Platform.

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