Algorithmia is a technology company.
Algorithmia has raised $39.0M across 3 funding rounds.
Key people at Algorithmia.
Algorithmia was founded in 2014 by Diego Oppenheimer (CEO and Founder).
Algorithmia has raised $39.0M in total across 3 funding rounds.
Key people at Algorithmia.
Algorithmia was founded in 2014 by Diego Oppenheimer (CEO and Founder).
Algorithmia has raised $39.0M in total across 3 funding rounds.
Algorithmia's investors include Decibel Partners, Fuse, Madrona Ventures, Uncork Capital, Evan Cheng.
Algorithmia was a Seattle-based technology company that built an MLOps platform to simplify deploying machine learning models into production for enterprises. It served data scientists, IT operations teams, and developers at Fortune 500 companies like Merck, Ernst & Young, and Deloitte, solving the core problem of productionizing AI models—addressing infrastructure hurdles that divert experts from innovation.[1][3][4] Over 130,000 users leveraged its tools to automate ML deployment, integrate with existing CI/CD processes, and ensure security and governance, evolving from an algorithm marketplace to a leader in AI automation with strong growth, including a $25M Series B in 2019 before its acquisition.[1][2][3]
Algorithmia was founded in 2013 by CEO Diego Oppenheimer and CTO Kenny Daniel, who were best friends collaborating on a vision to democratize access to advanced algorithms.[2][3][5] The idea emerged amid rising demand for machine learning, starting as a marketplace connecting developers with algorithms and tools via simple web services—often integrable in under 10 lines of code.[1][2][3] Early traction came from recognizing the "MLOps gap": productionizing models proved notoriously difficult, prompting a pivot to a full DevOps platform for enterprises, with pivotal funding like $37.9M total raised from investors including Norwest, Madrona, and Gradient Ventures.[1][3]
Algorithmia rode the explosive growth of AI/ML adoption, where enterprises struggled to move experimental models to production amid surging demand for automation.[1][3] Its timing aligned perfectly with the MLOps trend—bridging data science and operations—as market forces like cloud proliferation and regulatory needs for secure AI favored platforms enabling rapid, governed deployment.[4] By influencing ecosystem standards for ML DevOps, it empowered sectors like finance and healthcare, accelerating innovation until its 2021 acquisition by DataRobot enhanced the acquirer's $6.3B-valued platform for enterprise AI value delivery.[3]
Post-2021 acquisition by DataRobot, Algorithmia's technology and team (including CEO Oppenheimer) integrated to strengthen MLOps for global enterprises, with its legacy fueling DataRobot's mission to productionize every AI model.[3][4] Trends like generative AI scaling and stricter governance will shape its embedded influence, evolving toward ubiquitous, automated ML pipelines amid enterprise AI maturation. This positions its innovations as foundational, tying back to its origins in democratizing algorithms for real-world impact.[1][2]
Algorithmia has raised $39.0M across 3 funding rounds. Most recently, it raised $25.0M Series B in May 2019.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 1, 2019 | $25.0M Series B | Decibel Partners, Fuse, Madrona Ventures, Uncork Capital, Evan Cheng | |
| Jun 1, 2017 | $11.0M Series A | Decibel Partners, Fuse, Madrona Ventures, Uncork Capital, Evan Cheng | |
| Aug 1, 2014 | $3.0M Seed | Decibel Partners, Madrona Ventures |
