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Domino Data Lab

135 Townsend Street, Floor 5, San Francisco, California, 94107, United States

Overview

Domino Data Lab is a San Francisco–based provider of an enterprise AI platform that helps organizations build and operate AI at scale. Its platform offers an integrated experience covering model development, MLOps, collaboration, and governance. The company says it empowers AI-driven enterprises to deploy and manage models across the lifecycle. Domino plans to use the recent investment to expand operations and broaden its business reach. The company is led by CEO Nick Elprin. No revenue or user metrics were disclosed in the article. Domino Data Lab provides an open data science and enterprise MLOps platform that helps companies operationalize and deploy machine learning models. The company integrates with Snowflake via Snowpark to deliver an end-to-end enterprise data science lifecycle on a common data and deployment platform. Customers named in the article include Allstate, Instacart, Dell, and Monsanto. Domino was founded in 2013 and is based in San Francisco. The company is backed by investors including Sequoia Capital, Coatue, Bloomberg Beta, and Zetta Venture Partners. The article reports an additional Series F investment from Snowflake, indicating ongoing financing activity. Domino Data Lab provides an Enterprise MLOps platform that accelerates the development and deployment of data science work while increasing collaboration and governance. Founded in 2013 and led by CEO Nick Elprin, the company has offered certified Enterprise MLOps software for NVIDIA DGX systems since 2020 as a charter member of the NVIDIA DGX-Ready Software program. Domino is working with NVIDIA to develop product functionality to expand accelerated computing capabilities in its platform and is validating the Domino platform for NVIDIA AI Enterprise so it can run on mainstream, NVIDIA-Certified Systems from OEM hardware providers. The company intends to use the new funding to continue to expand operations and its business reach. Domino and NVIDIA will further integrate products and expand joint sales efforts to support customers’ efforts to build model-driven businesses. The company has raised $100M in its Series F, bringing total funding to $228M. Domino Data Lab provides an enterprise data science management platform trusted by 20% of the Fortune 100. The company debuted Domino Model Monitor (DMM), a product that automates alerts for model drift across models regardless of where they were developed or deployed. Domino says DMM reduces the risk of financial loss and degraded customer experience from undetected model drift, a problem exacerbated since COVID-19. The company also released on-demand Spark clusters, data science project management features, and expanded Kubernetes and multi-tenant support (including AKS) to help teams run distributed analysis and manage research at scale. Customers named in the release include Dell Technologies, Allstate, VMware, Bristol-Myers Squibb, Topdanmark, Lockheed Martin, and Bayer. Domino says existing customers can upgrade immediately and new users can try the platform online. The company announced a new funding round alongside these product innovations, which it says will help accelerate development of more products. Domino Data Lab provides an open data science platform that lets companies run their business on models. Founded in 2013 by CEO Nick Elprin and based in San Francisco, CA, the company serves model-driven enterprises such as Allstate, Instacart, Dell, and Monsanto. Customers use the platform to accelerate research, increase collaboration, and deliver high-impact models. Domino has recently earned new business at EasyJet, Lloyds Banking Group, SunCorp Group, and BNP Paribas Cardif among other global enterprises. The company secured a $40M funding round that brought total capital raised to $81.2M. It intends to use the funds to deliver new data science platform products, hire talent, expand globally, and deepen strategic partnerships with companies like SAS and AWS.

Total raised
$221M
Funding rounds
8
Latest round
Series F
Latest activity
Oct 2021

Industries

  • Analytics
  • Artificial Intelligence (AI)
  • Big Data
  • Data Mining
  • Enterprise Applications
  • Enterprise Software
  • Machine Learning
  • Software
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Recent funding

  1. Series F

    Oct 2021

    $100M

  2. Series E

    Jun 2020

    $43M

  3. Series D

    Aug 2018

    $40M

  4. Series C

    Apr 2017

    $27M

  5. Series B

    Nov 2016

    $11M

Team