Weights & Biases Inc. Closes $135 Million at $1 Billion Valuation  

by Kay Aloha Villamor in October 15th, 2021

Weights & Biases Inc., a San Francisco, California-based that provides a developer-first MLOps platform that offers performance visualization tools for machine learning., closed a $135 million in Series C at a $1 billion valuation.

The Series C funding round was provided by Felicis Ventures and BOND, with Insight Partners and Coatue. Weights & Biases has raised $200 million from investors to date.

This funding allows Weights & Biases Inc. to continue building out its platform, adding new and better functionality, and scaling with the growing needs of the ML community.

Company: Weights & Biases, Inc.

Raised: $135.0M

Round: Series C

Funding Month: October 2021

Lead investors: Felicis Ventures and BOND

Additional Investors: Insight Partners and Coatue

Company Website: https://www.wandb.ai/

Software Category: MLOps platform

About the Company: Weights & Biases has developed a machine-learning operation or MLOps platform that increases the efficiency of the trial-and-error process through which AI software is developed. According to the startup, the platform improves developer productivity by solving a key challenge involved in AI initiatives: organizing and processing project data. Its platform speeds up the task to help software teams deploy AI models in production faster. The platform collects all the files associated with a neural network and organizes them in one centralized interface. Weights & Biases provides its core feature set alongside complementary capabilities designed to simplify some of the other steps involved in building AI software. The startup’s platform visualizes technical information on neural networks to help inform developers’ work. Software teams have access to graphs that detail the accuracy of an AI model, the amount of processing capacity it requires to run, and other key details.

Source: https://siliconangle.com/2021/10/13/mlops-startup-weights-biases-worth-1b-fresh-135m-funding-round/

 


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