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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series F
Total Funding
$220.4M
Headquarters
San Francisco, California
Founded
2013
Domino Data Lab provides a platform for businesses to build, deploy, and manage artificial intelligence (AI) models. This platform supports collaboration among teams and helps establish best practices while tracking models in production. It allows companies to innovate without being tied to a single vendor by offering access to a wide range of open source and commercial tools. Unlike many competitors, Domino Data Lab focuses on creating a central hub for AI operations that integrates workflows and automation tailored for enterprise needs, ensuring compliance and governance. The platform can run AI workloads in various environments, including on-premises and across multiple clouds, which helps optimize costs and performance. The goal of Domino Data Lab is to enable businesses to scale their AI initiatives efficiently while managing risks and reducing operational costs.
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Total Funding
$220.4M
Above
Industry Average
Funded Over
7 Rounds
Health & Wellness - Premium medical, dental, and vision insurance plans, including a free option for you and your family.
Commuter Benefits - What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train.
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.
Flexible Paid Time Off - We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world.
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.
Own Your Outcome - Feel supported to get your work done how and when you need to, regardless of your location.
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 isn’t happening overnight, but such incremental approaches are necessary to ensure success in such a highly regulated environment.For decades, SAS was “it” 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 challenges—especially 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 year’s predictions round up we gather the experts to find out what they’re anticipating ahead of 2025.AI’s 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, there’s 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, there’s 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 “kill switch” to models, implement a written safety protocol and get a third-party safety auditor before starting to train models. It would have also given California’s attorney general access to an auditor’s 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
Market Leaders - Altair, Alteryx, Databricks, Dataiku, DataRobot, Domino Data Lab, Fivetran, H2O.ai, and MathWorks were given the highest "Market Leader" award.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series F
Total Funding
$220.4M
Headquarters
San Francisco, California
Founded
2013
Find jobs on Simplify and start your career today