Latest AllegisNL News
Jan 18, 2021
Share Lumiata Sees Rapid Growth in Demand and Adoption of AI Applications for Healthcare Amid the COVID-19 Volatility and Risk AI for Healthcare company, Lumiata announced that it had completed $14 million in Series B funding. The round was co-led by venture capital firms Defy.vc and AllegisNL Capital along with existing investors Khosla Ventures and Blue Venture Fund. Lumiata is modernizing how risk and care are managed in healthcare. The friction-free predictive applications and machine learning tools enable healthcare companies to build and expand their AI capabilities. Lumiata will use the funding to scale its enterprise-grade AI platform and invest in customer acquisition and success. The company plans to open a new office in Guadalajara, Mexico in 2021. “Lumiata is breaking new grounds in the adoption of AI across healthcare’s core functions. We relaunched Lumiata two years ago with a mission to democratize AI to reduce the cost of care and improve outcomes. We have an even greater purpose to realize this mission as COVID-19 changed healthcare and our world forever,” said Lumiata CEO Dilawar Syed. “We will accelerate our investment in product, customers, and people to grow and scale the business.” “Lumiata excels at building trusted relationships with its customers,” said Dalbir Bains, FGC Health’s chairman, president and CEO, a Lumiata customer. “They have delivered results that help us manage consumer risks for co-morbidities. Our long partnership means that we can depend on them long-term to help us manage our pharmacy business.” Lumiata’s suite of products includes predictive applications for healthcare business teams to manage underwriting and clinical costs and risks for improved decision support, transparency, and patient centricity. Lumiata’s machine learning toolkit is purpose-built for healthcare data scientists to build and deploy predictive models with speed and ease. Lumiata’s automated data management, pre-built models, and AutoML capabilities provide a low-code option for healthcare organizations with limited data science expertise.
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