
NeuralMed
AI-powered healthcare data analytics for patient stratification.
Date | Investors | Amount | Round |
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- | investor investor | €0.0 | round |
investor investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
* | N/A | - | |
Total Funding | 000k |
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NeuralMed is a health-tech company that utilizes artificial intelligence to analyze healthcare data, providing predictive insights for patient care. The company was co-founded in 2018 by CEO Anthony Eigier and Dr. André Castilla. Eigier, an economist with a background in entrepreneurship, co-founded TreeLabs, Brazil's second startup accelerator, and Fanatee, a successful gaming company. Motivated by a desire to create a meaningful legacy and drawing from his family's medical background, he partnered with Dr. Castilla, who has expertise in health data analysis, to establish NeuralMed.
The company's core business revolves around a B2B model, serving hospitals, health operators, pharmaceutical companies, and health plans. NeuralMed's platform processes vast amounts of structured and unstructured health data, such as medical images and clinical notes, to identify high-risk patients and optimize care pathways. Its main solutions include 'TrIA', for optimizing patient triage and automating screening; 'Atlas Finder', for identifying high-value patients for specific care flows; and 'Atlas Tracker', for monitoring the complete patient journey. By integrating with existing clinical workflows, the platform aims to enhance diagnostic speed and accuracy, reduce costs, and improve resource allocation for its clients.
Keywords: health-tech, artificial intelligence, predictive analytics, patient triage, care coordination, population health management, clinical decision support, healthcare data, medical imaging analysis, patient risk stratification, chronic disease management, oncology data, real-world data, patient journey monitoring, healthcare efficiency, value-based care, clinical workflow optimization, NLP in healthcare, unstructured data analysis, health informatics