Jidoka Technologies, the new age start-up in the field of automated cognitive inspection for manufacturing, recently launched India’s first-of-its-kind solution to address the growing challenges in the QC processes of the manufacturing sector. The solution is made available to customers both in India and overseas markets.
Jidoka Technologies has recently received its seed funding from a leading technology entrepreneur that will be invested to scale up operations and for expansion into new markets of North America and South East Asia. Having established its efficacy with some leading automobile brands, the company said it is already expanding its scope to Pharma, General Manufacturing, Electronics and Printing among other industry verticals.
The company said its state-of-the-art automated cognitive QC solution enhances the quality and efficiency of QC in the manufacturing process. It harnesses and mirrors human reasoning in defect detection delivering 98% or higher accuracy in the QC process consistently and a significant increase in throughput, besides reducing wastage by 30%..
Sekar Udayamurthy, CEO and Co-founder, Jidoka Technologies, said, “We at Jidoka understand the challenges faced by our customers in the manufacturing sector in the QC process and are constantly updating ourselves through research and development to develop relevant solutions”.
He said the state-of-the-art QC solution will increase the efficiency of the manufacturing processes. “Our focus is to revolutionise the QC process in manufacturing by leveraging deep tech, for both Indian and International markets.”
He added, “This funding has come to us at the time when there is an increasing demand for automated QC solutions to drive speed and efficiency in manufacturing and will support us to scale our business, expand our reach outside of India, accelerate growth and enhance our innovation capabilities.”
The QC solution primarily consists of two parts – first being the hardware platform that comprises three models, namely, Huron for large volume complex products, Tigris for flat and light weight products and Miyake for manual load and unload with selective checking. The second part is a software platform called Kompass that connects real-time decision-making to the state-of-the-art AI, in order to create an end-to-end system for visual defect detection.