Naluri Raises $14M Series B To Cut Health Costs And Improve Care

Naluri has raised $14,000,000. Naluri is an evidence-based digital health solution that helps organisations predict, prevent, and manage leading cardiometabolic and mental health conditions, including heart disease, diabetes, cancer, chronic stress, anxiety, depression, and pain. The company combines behavioural science and psychology, data science, and digital design to deliver personalised, coordinated multidisciplinary professional coaching that aims to make healthy lifestyle habits stick. Naluri works with organisations to reduce preventable healthcare costs and increase productivity, and partners with healthcare providers to extend continuity of care outside the clinical setting to improve treatment compliance. The financing is material because it provides capital to support Naluri’s model, which links digital interventions and professional coaching to organisational objectives around cost reduction and productivity. For employers and health systems looking to address chronic physical and mental health conditions, additional resources can enable broader deployment of evidence-based programmes and the underlying analytics that support personalised care. The company did not disclose a detailed allocation for the $14,000,000, and the announcement did not identify investors, the financing structure, or specific milestones tied to the raise. Absent those disclosures, the new funding positions Naluri to pursue its stated mission of expanding delivery of its digital health services and strengthening the combination of behavioural, clinical and data capabilities that underpin its approach. Observers and potential customers will likely watch for subsequent updates that clarify how the proceeds are being applied and for measurable outcomes tied to reduced costs, improved treatment adherence and clinically significant health improvements. Looking ahead, Naluri’s next public disclosures should provide greater detail on deployment plans and evidence of impact as it seeks to scale its model.