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Savana is an AI-driven clinical intelligence platform that transforms unstructured electronic medical record text into deep real-world evidence through advanced natural language processing. Since its inception in 2014, Savana has enabled the structuring and analysis of billions of clinical documents across multiple languages and countries, unlocking previously hidden insights embedded within healthcare data. Its EHRead NLP models power anonymization and pseudonymization tools capable of handling both structured and free‑text data at scale, having processed over 35 million documents. Savana serves hospitals, researchers, and health systems by generating actionable, research-grade evidence to support precision medicine, epidemiological studies like COVID-19 predictive analyses, and broader clinical data strategies, all while remaining among Europe's top HEOR (Health Economics and Outcomes Research) contributors.

Altis Labs announces launch of Nota – a clinical information platform to accelerate therapeutic R&D Nota leverages. AI to predict patient outcomes from imaging data so sponsors can better prioritize their most promising therapies. Nota enables researchers to operationalize clinical trial imaging data, access predictive imaging biomarkers, and accelerate R&D at scale. Using Altis’ cloud-based software platform powered by deep learning, biopharma can incorporate comprehensive outcome predictions at the image, patient, and cohort level to improve clinical trial design and more confidently anticipate clinical endpoints. Such insights have the potential to significantly accelerate development timelines, lower drug development costs, and improve the likelihood of trial success across therapeutic areas.