Apteekkien Eläkekassa
Apteekkien Eläkekassa is a public pension fund located in Helsinki, Finland, established in 1864. It specializes in providing pension benefits primarily for employees working in pharmacies, in accordance with the Employees Pensions Act (TEL). The fund offers a range of services, including employment pension statements, secure messaging, assistance with pension applications, and support for pensioners and beneficiaries. Additionally, it facilitates vocational rehabilitation travel reimbursements and issues certificates of pension. The operations of Apteekkien Eläkekassa are overseen by an executive management team dedicated to managing its resources and services effectively.
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3 past transactions
Koite Health
Venture Round in 2024
Koite Health specializes in developing medical devices that utilize light-activated antimicrobial treatments. Its flagship product is a LED-based oral care system designed to prevent and treat oral diseases, aiming to reduce the reliance on antibiotics within the healthcare sector.
CurifyLabs
Seed Round in 2021
CurifyLabs is a Finnish healthtech company that develops 3D printing solutions for manufacturing personalized medicines in pharmacies and hospitals. Its automated on-demand manufacturing concept, the Pharma Kit, and printable pharmaceutical inks enable personalized mass customization of medicines, aiming to improve patient safety and treatment efficacy while lowering costs. The company offers a platform that automates and streamlines drug compounding and drug technology, enabling on-site 3D printing of personalized medicines in pharmacies. This approach supports sustainable manufacturing and better fitting treatments for individual patients.
Nukute
Series A in 2021
Nukute, founded in 2015 and based in Oulu, Finland, specializes in developing medical devices and services for sleep apnea screening and diagnostics. Their solution comprises two wireless wearable sensors, a tablet computer, and cloud-based software. The sensors record vital biosignals like breathing, blood oxygen saturation, heart rate, and sleeping position, which are then analyzed using machine learning algorithms in the cloud. This data is presented to physicians via an intuitive online interface, enabling clinics to conduct sleep studies without employing dedicated specialists.
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