What is Domino?
Domino Data Lab is a prominent player in the Enterprise MLOps sector, providing a leading platform that empowers model-driven businesses. The company facilitates the accelerated development and deployment of data science initiatives, enhancing collaboration and governance across organizations. Many Fortune 100 companies rely on Domino to scale their data science operations, transforming them into critical competitive advantages. Founded in 2013, Domino has attracted substantial investment from prominent venture capital firms and strategic partners.
How much funding has Domino raised?
Domino has raised a total of $223.5M across 6 funding rounds:
Series A
$3M
Series B
$10.5M
Series C
$27M
Series D
$40M
Series E
$43M
Series F
$100M
Series A (2015): $3M with participation from Bloomberg, In-Q-Tel, and Zetta Venture Partners
Series B (2016): $10.5M led by Steamboat Ventures
Series C (2017): $27M supported by Zetta Venture Partners, Coatue, Bloomberg, and Steamboat Ventures
Series D (2018): $40M featuring Coatue and Steamboat Ventures
Series E (2020): $43M backed by Dell Capital, Highland Capital Partners, Coatue, and Steamboat Ventures
Series F (2022): $100M with participation from Great Hill Partners, Snowflake, and NVIDIA
Key Investors in Domino
Coatue
Coatue Management is an employee-owned hedge fund sponsor that invests in public equity and hedging markets globally, as well as private equity. Founded in 1999, the firm is based in New York City.
Steamboat Ventures
Steamboat Ventures, established in 2000, invests in early to growth-stage technology, media, and consumer companies, aiming to help them become market leaders and create lasting value.
Great Hill Partners
Great Hill Partners is a Boston-based private equity firm that finances growth companies across various sectors including technology, healthcare, and financial services, managing billions in assets.
What's next for Domino?
With its substantial enterprise-level funding, Domino Data Lab is strategically positioned for continued expansion and innovation in the MLOps space. The company's focus on accelerating data science development and deployment, coupled with robust governance features, aligns with the increasing demand for AI-driven solutions across industries. Future growth is likely to involve further platform enhancements, broader market penetration, and strategic partnerships to solidify its leadership in the competitive AI and machine learning landscape.
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