Virtualitics Secures $4.4M to Revolutionize VR/AR Data Analytics
Virtualitics, a cutting-edge startup specializing in VR and AR analytics, has successfully raised $4.4 million in a funding round led by The Venture Reality Fund. The Pasadena-based company is poised to transform how businesses leverage immersive technologies for data visualization and actionable insights.
Bridging VR/AR and Advanced Analytics
Virtualitics has developed an innovative platform that merges:
- Immersive VR/AR environments
- Artificial intelligence (AI) and machine learning
- Natural language processing
- Multidimensional data visualization
This powerful combination helps organizations uncover hidden patterns in complex datasets, driving better decision-making and competitive advantages.
Key Benefits of Virtualitics’ Technology
- 10-dimensional data visualization in shared virtual workspaces
- Enhanced human perception and pattern recognition through 3D environments
- Collaborative analytics for teams across industries
- Actionable insights that traditional methods often miss
“Our technology enables organizations of all sizes to identify meaningful patterns that lead to better outcomes, cost savings, and significant competitive edge,” said Michael Amori, Virtualitics CEO and cofounder.
Backed by Industry Leaders
The funding will accelerate:
- Team expansion
- Platform development
- New feature deployment
Virtualitics boasts an impressive founding team with deep expertise from:
- Caltech’s Center for Data-Driven Discovery
- NASA’s Jet Propulsion Laboratory
- Deutsche Bank’s financial leadership
Market Potential and Investor Confidence
“Virtualitics is transforming how we analyze big data through VR/AR and AI,” noted Marco DeMiroz of The VR Fund. “Their platform has global applications across all data-intensive industries.”
Virtualitics’ platform visualizing complex data in VR (Image Credit: Virtualitics)
As VR and AR adoption grows across sectors, Virtualitics is well-positioned to become a leader in immersive data analytics, helping businesses unlock value from their most complex datasets.
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