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Virtualitics raises $37M for AI-driven, 3D data exploration

Aug 10, 2023 - venturebeat.com
Virtualitics, a California-based startup, has raised $37 million in a series C funding round led by Smith Point Capital, with participation from Citi and advisory clients of The Hillman Company. The company, which provides an AI-driven platform for 3D data exploration, will use the funds to expand its footprint and enhance its offerings. The platform allows users to run natural language queries on complex multi-dimensional datasets and generate network graph visualizations to understand them.

The company's platform uses AI and machine learning models to analyze data and uncover hidden patterns. It also offers the unique ability to produce these visualizations in 3D, which helps users better understand the data and collaborate on the visuals in an immersive, shared space. With the new funding, Virtualitics plans to make ecosystem investments, add more machine learning and data analytics capabilities, and introduce self-serve prescriptive workflows to its platform.

Key takeaways:

  • Virtualitics, a California-based startup, has raised $37 million in a series C funding round led by Smith Point Capital, with participation from Citi and advisory clients of The Hillman Company, among other investors. This brings the total capital raised by the company to $67 million.
  • The company provides an AI-driven platform for 3D data exploration, which is aimed at helping users analyze and understand complex, business-critical datasets. The platform uses AI and machine learning models to analyze data and uncover hidden patterns.
  • Virtualitics' platform is unique in its ability to produce 3D visualizations of data, which can help users better understand the data and collaborate with others in an immersive, shared space. The company claims that this AR/VR experience makes insight consumption easier.
  • With the new funding, Virtualitics plans to expand its footprint, grow its customer base, and add more capabilities to its platform. This includes making ecosystem investments and adding additional machine learning and data analytics capabilities.
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