AGMAH, a developer of automation and robotics solutions, has been selected under the European Union and Eureka Network’s Innowwide Call 3 program to conduct a six-month project focused on introducing Industry 5.0 solutions to factories in India. The company will receive a grant of EUR 60,000 to execute the project.
The initiative aims to deploy human-centric automation technologies to help factories, particularly in the automotive, fast-moving consumer goods (FMCG), and other manufacturing sectors, implement flexible and reconfigurable production systems to reduce downtime. AGMAH will collaborate with its local partner, IEC Air Tools Pvt. Ltd., for the project.
The company’s proposal was ranked first out of more than 640 applications submitted to the Innowwide Call 3 program.
AGMAH has introduced an artificial intelligence (AI) automation platform and hardware system aimed at improving factory productivity and reducing machine downtime. Initial pilot projects using AGMAH’s system reported a reduction in machine downtime of up to 40 percent, which the company states resulted in savings of millions of euros.
Founded in 2021 by Ishaan Mahashabde and his partner, AGMAH focuses on enhancing existing industrial processes without requiring the replacement of current machinery. The company’s AI platform enables factories to connect hardware to machines without reprogramming and offers the ability to remotely manage machines, adjust processes, and create dashboards.
AGMAH received support from the Netherlands Enterprise Agency (RVO) through initiatives including the WBSO and the Innowwide scheme. The company’s initial 2023 application for Innowwide was unsuccessful, but with advisory support from RVO, a subsequent 2024 application was approved.
Since 2024, AGMAH has utilized the WBSO scheme, which reduced development costs and enabled the startup to establish an internal research team to accelerate product development.
AGMAH, founded in Eindhoven in 2021, develops AI-driven automation platforms and hardware designed to optimize factory operations, focusing on minimizing machine downtime and improving productivity without requiring significant changes to existing equipment.