Onward Health

【AEA 2018 Alumni】
Onward Assist is a machine learning platform focused on oncology, that provides decision assistant tools across the clinical process – including Diagnostics as well as treatment decision assistance. Onward Assist provides Oncology analytics tools that help clinicians be able to look at information of a large volume of patients and come to accurate clinical diagnosis and diagnosis. These analytics tools are built for Histopathologists (Microscopic examination of the Tissue), Radiologists (Medical Imaging such as X-rays) and Oncologists.
The key focus today is in diagnostics assistance in Radiology, and Computational pathology (around Breast càncer and Cervical cancer). Their tools does the work of a radiologist and pathologist respectively, and helps improve productivity by 30-40% (reflected by the reduction in the time taken to complete the reporting of an image, or a slide).
Onward Health is run by CoFounders, Dinesh Koka and Vikas Ramachandra who bring a combined 30+ years of experience in Healthcare, Business Development, Computer Vision, and Deep Tech. Dinesh is a 16+ years Healthcare Industry Exec, having worked with GE Healthcare, and then startups. Vikas Ramachandra (Ph.D) heads Data Science, and brings 10+ years of deep expertise across computer vision, machine learning having worked with Qualcomm and healthcare analytics startups in the US.


Nominated by

Zone Startups
Onward Health is in the Intersection of AI and Health care both focus areas of AEA 2018; bringing in Intelligence based on data to the clinical process (especially Oncology).They address a real problem (Cancer diagnostics), with a real solution that has crossed the Proof of validation stage. A great team of co-founders with over 25 years of experience; they have made good early stage decisions to focus on bigger Longer term revenue as opposed to smaller immediate revenue. They are early enough in the product /solution lifecycle to benefit well from AEA/Japan’s ecosystem. Besides the problem and their solution are essentially Global problems and fall in the range of Suggestive AI Solutions; an area which fits well within the regulatory framework of Global regulators like FDA (USA) and PMDA (Japan). Unlike other areas AI/Healthcare start-ups are characterized by much longer sales/product lifecycles and take longer to get to market, need deeper founder expertise, prior customer/partner knowledge; since AEA’s focus in 2018 is in these areas the nomination. Before choosing Onward Assist I looked at atleast 30 start-ups among multiple Indian Start-up ecosystems in multiple cities.