Jakarta-based digital clinic obtains $5M and more digital health fundings

Klinik Pintar scores $5M to develop ‘hybrid’ clinic solution

Jakarta-based digital clinic network Klinik Pintar has raised $5 million in an extended Series A funding round led by Altara Ventures.

Formerly Medigo, the company offers various clinical services, including teleconsultation and home health services. It runs a tech-enabled network of 22 primary, specialty, and corporate clinics.

Klinik Pintar plans to use its new funds to expand its network and introduce new products. It is now preparing to launch a second neurology specialist clinic by yearend. It also recently entered into corporate care, launching over 12 on-site clinics with an automotive manufacturer. Moreover, it is trying to combine its SaaS and physical IT models to offer a new hybrid offering. 

BetterSpace gets pre-seed to develop mental health games

Mental health tech startup BetterSpace has received $54,000 in pre-seed funding from PedalStart. 

Established in 2022, the startup provides counselling, workshops, and community engagement programmes around mental health. 

It will use its fresh funds to develop new products, including games and toolkits, boost marketing visibility, and optimise its app for greater accessibility across devices, among other uses. 

Another US FDA breakthrough designation for AWAK’s predictive AI

Singapore-based medtech AWAK Technologies has obtained its second breakthrough device designation from the United States Food and Drug Administration for its predictive AI.

Its kidney disease progression prediction (KDPP) AI model assists with assessing the risk of kidney disease progression and the initiation of renal replacement therapy. The model was developed in collaboration with Ever Fortune.AI, a spin-off of China Medical University Hospital. 

The FDA designation is AWAK’s second, following that for its peritoneal dialysis device in 2019.

AWAK will be collaborating with Singapore General Hospital to test its KDPP model using the hospital’s de-identified data of chronic kidney disease patients. It is also in advanced talks to integrate its solutions with US partners.