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Recently Funded|Amount: USD 125.0M|Industry: Software Development
Paige AI Secures $125M in Series C Funding to Revolutionize Cancer Diagnosis and Treatment
Paige AI

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Paige AI is thrilled to announce a monumental funding round of $125,000,000 that will propel the company into its next phase of growth and innovation. As the first company to receive FDA approval for a clinical AI application in digital pathology, Paige has already transformed the landscape of cancer diagnostics and treatment. This significant injection of capital will accelerate the expansion of Paige’s cutting-edge, cloud-based platform, which is already revolutionizing the workflow of pathologists around the globe. By harnessing the power of artificial intelligence, Paige’s advanced technology enhances diagnostic confidence, boosts efficiency, and ultimately improves patient outcomes. The new funds will not only support further research and development into novel AI-driven solutions but will also enable the company to extend its reach internationally, ensuring that healthcare providers worldwide have access to transformative tools in cancer detection and treatment planning. In addition, pivotal investments will be directed towards deepening strategic collaborations with pharmaceutical companies, empowering them with sophisticated analytics to tailor treatment options and innovate new biomarkers for drug discovery. This dual-pronged approach is designed to meet the urgent clinical needs of cancer patients while fostering an ecosystem of precision medicine. At its core, Paige is committed to driving the new era of cancer discovery and treatment by bringing together state-of-the-art AI technology and deep clinical insights. This funding milestone is a testament to the company’s vision and the trust placed in its vision by investors, partners, and the global medical community. To learn more about Paige’s journey and innovative technologies, visit https://www.paige.ai.
Buying Signals & Intent
Our AI suggests Paige AI may be interested in solutions related to:
- Advanced AI Models
- Healthcare Solutions
- Clinical Trial Optimization
- Predictive Analytics
- Diagnostic Technologies
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