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On July 27, 2021, DataRobot announced a $300 million Series G financing round and its acquisition of Seattle-based machine-learning operations company Algorithmia. DataRobot said the financing valued it at $6.3 billion post-money. The funding and acquisition were announced together, but the public announcements do not say that the $300 million was paid to Algorithmia or earmarked for the purchase.
What DataRobot announced
The announcement combined two related but distinct moves: fresh capital for DataRobot and an agreement to acquire a company focused on putting machine-learning models into production. The deal fit DataRobot’s effort to broaden its enterprise AI platform, but the announcement did not disclose Algorithmia’s purchase price or detailed transaction terms.
DataRobot described its platform in 2021 as supporting the machine-learning lifecycle, from building models through deployment and management. Algorithmia brought a stronger focus on serving and operating models inside enterprise IT environments. The strategic idea was to connect model development with the systems and processes needed to run models reliably after experimentation.
How much did DataRobot raise, and who invested?
DataRobot said it raised $300 million in a Series G led by existing investors Altimeter Capital and Tiger Global. It also named Counterpoint Global, Franklin Templeton, ServiceNow Ventures, and Sutter Hill Ventures as participants. The company put its post-money valuation at $6.3 billion after the round, more than twice the valuation it reported following its November 2020 financing. DataRobot described that earlier valuation as above $2.7 billion. DataRobot’s Series G announcement and its November 2020 announcement provide those figures.
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- Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
The $300 million was the amount raised in the financing; $6.3 billion was the stated post-money valuation. Neither number is the price paid for Algorithmia. The official announcements do not provide a purchase price or establish what portion, if any, of the financing went toward the acquisition.
What DataRobot said it would do with the proceeds
DataRobot said the capital would support platform innovation, expansion of its go-to-market organization, and hiring across North America, Europe, the Middle East and Africa, and Asia-Pacific/Japan. Those were stated plans, not confirmation of later spending or business results.
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What Algorithmia brought to the deal
Seattle-based Algorithmia focused on MLOps: the technical and organizational work of deploying, serving, monitoring, governing, updating, and scaling machine-learning systems after they are developed. Its platform was designed to fit into existing software-development and IT processes, including CI/CD workflows, and to support production inference on CPUs and GPUs.
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Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Algorithmia had started as a marketplace for machine-learning algorithms before shifting toward enterprise deployment and operations, according to GeekWire’s account of the company. In its acquisition announcement, DataRobot said more than 130,000 IT operations professionals, engineers, and data scientists had used Algorithmia, including employees at Merck, Ernst & Young, and Deloitte. That user figure is DataRobot’s claim, not an independently verified customer count. The acquisition announcement also describes Algorithmia’s product and the intended fit with DataRobot.
Leadership and prior funding
Dan Wright was DataRobot’s CEO at the time; Diego Oppenheimer was Algorithmia’s CEO and co-founder, and Kenny Daniel was its co-founder and CTO. GeekWire reported that Oppenheimer would remain at DataRobot after the acquisition. That report also noted his earlier work at Microsoft on products including Excel, Power Pivot, SQL Server, and Power BI. Contemporary coverage put Algorithmia’s prior funding at about $38 million: GeekWire reported $37.9 million, while VentureBeat reported $38.1 million. The difference reflects the figures reported by the two outlets; neither establishes the acquisition price. VentureBeat’s coverage provides its funding figure and deal context.
Why the product fit mattered
A model can perform well in development and still fail to create value if a company cannot deploy it securely, connect it to applications, monitor its behavior, or update it as data changes. MLOps addresses that operational gap. The combination DataRobot described was intended to link more of that work:
Rank #4
| DataRobot’s stated strength | Algorithmia’s stated strength |
|---|---|
| Automated model development and model management | Model serving and production deployment |
| Monitoring and performance oversight | Integration with IT, software-development, and CI/CD workflows |
| Enterprise AI platform | Operational infrastructure for scalable inference, including CPU and GPU workloads |
In practical terms, the target lifecycle was build, deploy, serve, monitor, govern, and update or retrain. DataRobot contributed more of the model-development and management layer; Algorithmia contributed deployment and serving capabilities. The public announcement explained this intended complementarity, but it did not demonstrate how fully the products were integrated after the deal.
What the announcement did not establish
The July 2021 releases and contemporary reporting do not settle several questions a buyer, employee, or investor might reasonably ask:
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- Purchase price and structure: DataRobot’s official announcement did not disclose the acquisition price or detailed transaction terms.
- Closing date and mechanics: DataRobot announced the acquisition on July 27, 2021. The announcement alone is not confirmation of a separately verified closing date.
- Customer and employee transition: The reviewed public material does not specify how many Algorithmia employees joined DataRobot, whether customers were migrated automatically, or how long Algorithmia operated as a standalone product.
- Financial impact: The public announcements do not quantify the acquisition’s effect on DataRobot revenue, customer numbers, or profitability.
- IPO plans: The financing announcement does not establish that the round was preparation for a public offering.
Those limits matter because a strategic rationale is not the same thing as evidence that integration succeeded or generated a particular financial return.
How the deal fits DataRobot’s later platform
As of August 2026, DataRobot’s public positioning extends well beyond the 2021 emphasis on automated machine learning and MLOps. Its AI Platform materials describe predictive and generative AI, governance, observability, and agentic AI, with cloud, virtual-private-cloud, and on-premises deployment options. Its release documentation continues to include MLOps, model-management, deployment, and migration information.
This later positioning shows that DataRobot markets a broader enterprise AI platform today; it does not by itself prove that the Algorithmia acquisition caused that evolution or that every Algorithmia capability remains available in the same form. DataRobot’s public materials offer trial or demo routes rather than a universal enterprise price, while its Classic MLOps pricing documentation directs prospective buyers to a representative.
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