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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series F
Total Funding
$226.6M
Headquarters
San Francisco, California
Founded
2013
Domino Data Lab offers a platform for businesses to build, deploy, and manage artificial intelligence (AI) models, promoting collaboration and best practices while ensuring governance and cost reduction. The platform allows access to various open source and commercial tools, enabling innovation without vendor lock-in. It runs AI workloads close to data in on-premises, cloud, or hybrid environments, optimizing performance and costs. The company's goal is to accelerate AI initiatives for businesses while managing risks and ensuring compliance.
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Total Funding
$226.6M
Above
Industry Average
Funded Over
7 Rounds
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Love for parents - New parents receive six weeks of fully-paid parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids.
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Annual Education Reimbursement - Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed.
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New Survey Reveals Enterprise AI Breakthroughs Advancing, But Business Impact Still Out of ReachDominoâs 2025 REVelate report shows safe AI adoption is accelerating, yet measurable ROI remains a challenge for most organisationsRevX 2025 â New York City â 8 May, 2025 â Domino Data Lab, provider of the leading Enterprise AI Platform trusted by the largest AI-driven companies, released its 2025 REVelate report, revealing a major move: organisations are going beyond AI experimentation into large-scale production. However, short-term return on investment (ROI) has taken a back seat as leaders prioritise infrastructure, governance, and scalable tools that support long-term strategic value over hype. While 88% of organisations report improved ability to move AI from experimentation to production, nearly 60% expect less than 50% ROI in the rapidly changing areas of machine learning (60%) or Gen AI (57%).âItâs clear that the AI hype cycle has peaked. Enterprises are done experimenting, and theyâre racing to scale, but the payoff is still out of reach,â said Thomas Robinson, Chief Operating Officer at Domino. âOur data validates what leaders know about and followers are learning: aligned leadership, flexible infrastructure, and integrated governance drive a straight line to AI business impact. These arenât technical upgrades â theyâre business imperatives that will define who sees real returns from AI.âKey findings from this yearâs report include:Governance is the top priority: When it comes to AI execution, integrated AI/ML governance is the top capability required (66%) by enterprises, followed closely by tooling (49%), and hybrid cloud AI infrastructure (44%)
Christopher McSpiritt, Head of life sciences at Domino Data LabData science teams in the life sciences industry are experiencing a significant change that will transform how clinical data is analyzed, opening the door to new possibilities for innovation. The transition isnât happening overnight, but such incremental approaches are necessary to ensure success in such a highly regulated environment.For decades, SAS was âitâ in life sciences. If you wanted to be a data scientist in the industry, you had to know SAS. However, recently there has been a move toward open-source tools among organizations under growing pressure to cut costs and innovate faster. But open source comes with its own set of challengesâespecially for such a tightly regulated industry. For the transition to work, teams must strike a careful balance between the dependability of established legacy systems and the adaptability that open-source tools bring
What does the next year hold? In this yearâs predictions round up we gather the experts to find out what theyâre anticipating ahead of 2025.AIâs next chapter. Some movement in embedded finance. Crypto and blockchain growing up?All the usual hot button topics are here and more, with some interestingly varied views on the biggest one of them all⌠Although surprisingly one topic has come up more than most: Security.Anyone who thinks cybersecurity is a thing of the past, is poorly mistaken. There are arguably more threats than ever, and financial services needs to be ready. Below you can find predictions on what will take place in that area and more, in the world of financial services and fintech over the coming year.Of course, thereâs plenty of optimism but also a healthy dose of realism. As we reach a quarter of a way through a century, that has already seen historic levels of innovation, transformation and invention, thereâs a sense of caution as we charge into the future
A data science startup, Domino Data Lab Inc., has launched a new platform aimed at automating governance in AI development.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreCalifornia Gov. Gavin Newsom vetoed SB 1047, the bill that many believed would change the landscape of AI development in the state and the country. The veto published on Sunday could give AI companies the ability to show they can proactively protect users from AI risks.SB 1047 would have required AI companies to include a âkill switchâ to models, implement a written safety protocol and get a third-party safety auditor before starting to train models. It would have also given Californiaâs attorney general access to an auditorâs report and the right to sue AI developers.Some AI industry veterans believed the bill could have a chilling effect on AI development. Many in the industry thanked Newsom for vetoing the bill, noting the veto could protect open-source development in the future
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series F
Total Funding
$226.6M
Headquarters
San Francisco, California
Founded
2013
Find jobs on Simplify and start your career today