• Cera’s AI-driven platform predicts over 80% of falls and 83% of hospitalizations a week in advance, reducing falls by 20% and hospitalizations by up to 70%.
  • Independent analysis estimates Cera saves the UK healthcare system £1 million daily through its AI-led home healthcare model.

Cera, the UK-based in-home healthcare provider leveraging proprietary AI technology, has raised $150 million in a mixed debt and equity funding round. The investment, primarily debt-led, was spearheaded by funds affiliated with BDT & MSD Partners and Schroders Capital.

This funding aims to scale Cera’s AI-driven platform, which integrates proprietary data modeling and leverages technologies like Google’s Gemini AI and Microsoft’s ChatGPT.

Cera’s AI platform empowers its 10,000 carers and nurses to provide predictive and proactive care. Its app logs patient data, enabling AI to anticipate risks like falls or hospitalizations.

Dr. Ben Maruthappu, Founder & CEO of Cera, said,

“We can predict over 80% of falls a week before they happen… reducing falls by over 20%. We can also predict around 83% of hospitalizations… reducing hospitalizations by up to 70%.”

The company claims it became EBITA-positive in 2023 and free-cashflow-positive in 2024, positioning it as an increasingly self-sustaining business. Cera has raised over $407 million in total, including its 2022 $320 million funding round.

Cera supports around 30 million people and collaborates with 150 local governments and two-thirds of NHS Integrated Care Systems. An independent analysis by a consultancy faculty suggests that Cera’s model saves the UK healthcare system £1 million daily.

Dr. Maruthappu emphasized,

“We’re taking pressure off the NHS… We’ve expanded into other service lines such as nursing services, physiotherapy, and mental health services in the home.”

This funding solidifies Cera’s position as a leading healthtech provider, distinguishing itself from competitors like Home Instead and Bluebird Care, which lack proprietary AI tools. It also avoids pitfalls seen in the sector, such as Babylon Health’s chatbot-based model, by focusing on scalable, data-driven solutions.

Edited by Harshajit Sarmah