Sukino Healthcare Secures $31 Million Funding Led by Bessemer Venture Partners
Sukino Raises $31M Funding Led by Bessemer Venture Partners

Sukino Healthcare, a prominent out-of-hospital healthcare chain, has successfully raised $31 million in a fresh funding round. Bessemer Venture Partners led this significant investment, with additional backing from Rainmatter. The company plans to use these funds to aggressively expand its operational footprint across India.

Expansion Plans and Current Operations

Founded in 2016 by Rajinish and Shalini Menon, Sukino currently operates more than 850 beds. These beds are spread across eleven centers located in Bangalore, Kochi, and Coimbatore. The company proudly claims profitability at the group level. Looking ahead, Sukino aims to expand to 22 more centers within the next two years.

Addressing a Critical Healthcare Gap

India faces a growing healthcare challenge, accounting for about 10% of global stroke cases annually. This number continues to rise steadily due to various structural health and lifestyle factors. Key contributors include obesity, hypertension, stress, and air pollution.

Each stroke patient typically requires six to eight weeks of comprehensive rehabilitative care after their procedure. This multi-modal care includes physical therapy, speech therapy, occupational therapy, and psychological support.

Sukino Healthcare effectively bridges a critical gap in the market. It connects the extended care essential for patient recovery with the increasing willingness of Indians to access such specialized assistance.

Investor Confidence and Vision

Vishal Gupta, Partner at Bessemer Venture Partners, expressed strong confidence in Sukino's mission. He stated, "Our belief in Sukino is rooted in our conviction that high quality healthcare, especially in the single speciality space, will lead to better clinical care and outcomes for Indian consumers."

This funding round underscores the growing investor interest in specialized healthcare solutions within India. It highlights the potential for scalable models that address specific, high-need medical conditions like post-stroke rehabilitation.