What is Domino?
Founded in 2013, Domino Data Lab provides a comprehensive Enterprise MLOps platform designed to accelerate the development and deployment of data science initiatives. By centralizing data science work, the platform enhances collaboration, governance, and reproducibility, which are essential requirements for Fortune 100 organizations. The company serves as a foundational layer for businesses seeking to transform data science into a sustainable competitive advantage, enabling teams to manage the entire lifecycle of machine learning models within a secure, scalable environment.
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 Zetta Venture Partners, Bloomberg, and In-Q-Tel
Series B (2016): $10.5M led by Steamboat Ventures
Series C (2017): $27M supported by Bloomberg, Coatue, Steamboat Ventures, and Zetta Venture Partners
Series D (2018): $40M featuring Coatue and Steamboat Ventures
Series E (2020): $43M backed by Coatue, Dell Capital, Steamboat Ventures, and Highland Capital Partners
Series F (2022): $100M with participation from Snowflake, Great Hill Partners, and NVIDIA
Key Investors in Domino
Snowflake
A cloud-based data platform provider that enables organizations to consolidate data into a single source of truth, facilitating advanced AI and data-driven application development.
NVIDIA
A global leader in GPU design and AI computing solutions, providing the essential hardware and software stack for high-performance machine learning and data center operations.
Coatue
A prominent hedge fund sponsor and private equity firm that specializes in long-term investments across the global technology and software sectors.
What's next for Domino?
With the backing of major strategic partners, Domino is well-positioned to capitalize on the accelerating shift toward generative AI and large-scale model orchestration. The company's roadmap likely focuses on deepening its integration with cloud-native data ecosystems and expanding its footprint in highly regulated industries that require stringent model governance. As the enterprise AI landscape matures, Domino's ability to maintain its role as a neutral, high-performance orchestration layer will be pivotal in sustaining its growth trajectory and market leadership in the MLOps sector.
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