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Recently Funded|Amount: USD 812.0M|Industry: Biotechnology Research
Deep Apple Therapeutics Lands $812M to Revolutionize AI-Driven Drug Discovery
Deep Apple Therapeutics

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Deep Apple Therapeutics is thrilled to announce that the company has successfully raised $812,000,000 in its latest funding round, a landmark investment that will propel its groundbreaking initiatives to new heights. This substantial infusion of capital will enable Deep Apple to further enhance its unique platform that explores an immense, previously uncharted virtual chemical space. By leveraging its proprietary Orchard.ai™ algorithm, the company generates vast multi-billion compound libraries and utilizes ensemble cryo-EM techniques to map receptor conformations—an innovative approach that continues to distinguish Deep Apple in the field of drug discovery. The funding will primarily be allocated toward advancing the company’s deep learning discovery engine, which is built on the robust foundation of the founder’s expertise in computational modeling, protein and target structure determination, and large-scale molecular docking. With these resources, Deep Apple is poised to accelerate the development of novel small molecule candidates that target well-validated pathways associated with inflammatory, metabolic, and endocrine diseases. This major investment underscores the confidence that investors have in Deep Apple Therapeutics' pioneering approach to structure-based, machine learning-driven drug design. The company’s ability to rapidly traverse complex chemical spaces and uncover small molecules with high therapeutic potential positions it as a transformative force in modern pharmacology. As Deep Apple enters this exciting phase of growth, it remains committed to pushing the boundaries of scientific innovation and delivering impactful therapies to patients worldwide. For additional details on the company’s innovative approach and future developments, please visit deepappletx.com.
Buying Signals & Intent
Our AI suggests Deep Apple Therapeutics may be interested in solutions related to:
- Research and Development
- Biotechnology Solutions
- AI Technologies
- Clinical Trials
- Partnerships with Pharmaceutical Companies
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