What is Closedloop.Ai?
Founded in 2017 and headquartered in Austin, Texas, ClosedLoop.ai operates as a specialized Healthcare Data Science Platform. The company addresses the industry's most pressing challenges by providing pre-built models for common healthcare use cases, effectively automating the labor-intensive processes typically associated with traditional data science. By reducing the barrier to entry for predictive analytics, ClosedLoop.ai enables healthcare organizations to derive actionable insights from their data, ultimately driving better clinical and financial performance across the enterprise.
How much funding has Closedloop.Ai raised?
Closedloop.Ai has raised a total of $45M across 2 funding rounds:
Series A
$11M
Series B
$34M
Series A (2020): $11M with participation from Meridian Street Capital, Greycroft Partners, Silicon Valley Bank, and .406 Ventures
Series B (2021): $34M led by Healthfirst, Breyer Capital, Greycroft Partners, .406 Ventures, and T Ventures Management
Key Investors in Closedloop.Ai
Healthfirst
A comprehensive provider of emergency readiness, infection control, and compliance solutions for medical and dental facilities across the United States.
Breyer Capital
An independent global venture capital firm founded by Jim Breyer, specializing in long-term, idea-driven investments with a strong focus on artificial intelligence and machine learning.
Greycroft Partners
A prominent venture capital firm focused on the internet and mobile markets, leveraging an extensive network to help entrepreneurs build successful, high-growth businesses.
What's next for Closedloop.Ai?
With the support of its latest strategic investment, ClosedLoop.ai is poised to deepen its integration within the healthcare ecosystem. The company's roadmap focuses on enhancing its automated modeling capabilities and expanding its footprint among large-scale medical providers. By prioritizing scalability and interoperability, the firm aims to become the standard operating system for healthcare data science, ensuring that institutions can rapidly deploy AI-driven solutions to meet evolving patient needs and regulatory requirements. The focus remains on long-term value creation through technological innovation and strategic partnerships.
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