What is Datometry?
Established in 2013, Datometry offers a unique database virtualization technology designed to make databases interchangeable. By translating applications and their results in real-time, Datometry enables seamless data integration and access across disparate database systems. This capability is crucial for enterprises seeking to streamline their data infrastructure, reduce complexity, and enhance operational efficiency. The company's technology addresses the growing challenge of data silos and the need for agile data management in today's complex IT environments.
How much funding has Datometry raised?
Datometry has raised a total of $28M across 3 funding rounds:
Angel/Seed
$1M
Series A
$10M
Series B
$17M
Angel/Seed (2014): $1M, investors not publicly disclosed
Series A (2017): $10M led by Redline Capital
Series B (2020): $17M supported by Redline Capital, WRVI Capital, Dell Technologies, Acorn Pacific Ventures, and Amarjit Gill
Key Investors in Datometry
Redline Capital
Redline Capital is a global Venture Capital and Growth Equity fund that invests in fast-growing companies with differentiated technologies. They focus on entrepreneurs transforming industries and provide support through all stages of development.
Dell Technologies
Dell Technologies is a global technology company specializing in computer manufacturing and IT infrastructure solutions, offering a comprehensive range of hardware, software, and cloud services for enterprise-level IT.
Acorn Pacific Ventures
Acorn Pacific Ventures specializes in early-stage investments, focusing on emerging technologies that integrate digital and real-world elements to enhance traditional industries and supply chains.
What's next for Datometry?
The recent major strategic investment signals a pivotal phase for Datometry, likely focused on accelerating product development, expanding market reach, and strengthening its competitive advantage in the database virtualization sector. With a history of securing substantial backing, Datometry is well-positioned to further innovate and capture market share. Future growth will likely involve deepening partnerships, enhancing its platform's capabilities, and targeting larger enterprise clients seeking robust data management solutions. The company's ability to make databases interchangeable is a key differentiator in a market increasingly driven by data analytics and AI.
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