Summary
Kinva Bio from Sonipat, Haryana, is among the Top 20 teams in Samsung Solve for Tomorrow 2026. Its AI-based platform explores converting sugarcane bagasse into protein-rich mycoprotein using bioreactors.
Kinva Bio, a team from Sonipat, Haryana, has been named among the Top 20 teams in Samsung Solve for Tomorrow 2026. Samsung’s 17 September 2026 profile describes the team’s project as an AI-based platform that explores converting sugarcane bagasse into protein-rich mycoprotein using bioreactors.
The project is presented as an innovation under development rather than as a finished food or industrial product. Gulshan Kumar and Nitish Kumar, the team members identified by Samsung, say the programme has involved learning, mentorship and prototyping support as they develop the idea.
How the proposed system works
Sugarcane bagasse is the fibrous material left after juice is extracted from sugarcane. It is an agricultural residue that can be used in applications such as energy, materials and biological processing. Kinva Bio’s concept investigates whether it can serve as an input for producing mycoprotein.
Mycoprotein is protein-rich biomass typically produced by growing microorganisms, especially fungi, under controlled conditions. A bioreactor is a vessel designed to manage those conditions, including factors such as temperature, oxygen, nutrients and mixing. In this project, the bioreactor is the production environment, while the AI-based platform is intended to form part of the system that Kinva Bio is exploring.
The combination links agricultural-waste utilisation with alternative protein production. If the approach can be developed into a reliable process, it could create a route for turning a locally available residue into a higher-value biological product. That connection between a regional agricultural challenge and a potential nutrition application is the central idea highlighted by Samsung.
Support through Solve for Tomorrow
Samsung says the Top 20 teams receive mentorship and prototyping support. For Kinva Bio, that support has helped the team strengthen its idea and examine how the bagasse problem could be translated into a practical innovation.
The announcement characterises the project as an exploration and does not provide process yields, the microorganism being used, the platform’s specific AI functions, or details of a completed prototype. It also does not describe a market-ready food product or provide food-safety and regulatory information. The significance of the project at this stage is therefore its proposed technical direction and the opportunity to develop it through the programme, rather than a demonstrated production result.