Navina, the Artificial Intelligence (AI)-powered clinical platform and creator of a proprietary generative AI assistant, today announced its inclusion in CB Insights’ first annual GenAI 50 ranking, a list of the world’s top 50 most innovative companies developing generative AI applications and infrastructure across industries.
"Being selected for CB Insights' inaugural GenAI 50 ranking is a significant recognition of our AI assistant's potential and the innovative strides we're making at Navina," said Ronen Lavi, CEO and Co-founder of Navina. "Combined with our recent inclusion in CB Insights’ AI 100 list, this affirmation fuels our team's determination to drive positive change in healthcare through AI, and reinforces our commitment to optimizing physician workflows and delivering better patient care. We are excited to continue exploring the possibilities of generative AI and its impact on healthcare."
Navina brings medically-informed AI to the point of care with a solution that impacts every patient interaction, empowering physicians to deliver more personalized, proactive care. The company’s recently-announced AI assistant is another powerful tool that aims to reduce the administrative burden and combat physician burnout. The assistant utilizes generative AI to help physicians understand their patients’ health status, handle administrative requests, and get recommendations for care using the natural language of primary care.
"Generative AI has created a paradigm shift in how companies innovate, and our first ever GenAI 50 cohort is leading the way,” said Deepashri Varadharajan, Director of AI Research at CB Insights. “Together, they are pushing the boundaries of drug discovery, human-machine interfaces, database tech, and more. As this future seemingly unfolds before our eyes, I cannot wait to see what they accomplish next.”
The CB Insights’ research team picked these 50 private market vendors using datasets, including R&D activity, proprietary Mosaic scores, business relationships, Yardstiq transcripts, investor profiles, news sentiment analysis, competitive landscape, and team strength - and criteria such as tech novelty and market potential.
