DataRobot
The leading Augmented Intelligence platform, delivering trusted AI technology and ROI enablement services to global enterprises competing in today’s Intelligence Revolution.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - |
| N/A | - |
$120k | Seed | ||
$3.3m | Seed | ||
$21.0m Valuation: $60.0m | Series A | ||
$33.0m | Series B | ||
* | $67.2m | Series C | |
N/A | - | ||
$100m | Series D | ||
$206m Valuation: $1.0b | Series E | ||
$270m Valuation: $2.7b | Series F | ||
$50.0m Valuation: $2.8b | Series F | ||
$300m Valuation: $6.3b | Series G | ||
N/A | - | ||
| N/A | N/A | Secondary | |
| Total Funding | $1.1b | ||
| USD | 2019 | 2020 |
|---|---|---|
| Revenues | 0000 | 0000 |
| % growth | - | 19 % |
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Company filings or news article
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DataRobot is a technology company that offers an artificial intelligence (AI) platform designed to unify, streamline, and optimize data analysis and processing. The platform is used by a diverse range of clients, including digital marketing solution providers, cement manufacturers, and retail data science companies, to enhance their operations and decision-making processes.
The company operates in the AI and data analytics market, serving clients across various industries. Its business model revolves around providing a platform that integrates data, Extract, Transform, Load (ETL) processes, and AI tools. ETL is a type of data integration that involves extracting data from various sources, transforming it to fit operational needs, and loading it into the end target (database, more specifically, an operational data store, data mart, or data warehouse).
DataRobot's platform helps clients understand their customers better, optimize processes, and make data-driven decisions. For instance, FordDirect used DataRobot's AI platform to understand its customers and prospects better, resulting in a higher likelihood of sales. Similarly, OYAK Cement used the platform for process optimization, leading to significant cost savings and a reduction in CO2 emissions.
The company generates revenue by charging clients for using its platform. The pricing likely varies depending on the client's size, the volume of data processed, and the complexity of the tasks performed.
Keywords: DataRobot, Artificial Intelligence, Data Analysis, ETL, Process Optimization, Customer Understanding, Data-Driven Decisions, Technology, Platform, Revenue Generation.
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Investments by DataRobot
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