Announces its presence in Pune to capitalize on the growing opportunities in Western India
Scales internationally with operations in the USA along with launching an Experience Center in Dallas
Expands its operations in Chennai to accommodate accelerated growth
Jidoka Technologies, a leader in automated cognitive inspection for the manufacturing industry, is in its next phase of growth. As a part of its growth strategy, Jidoka Technologies announced its presence in Pune to cater to the growing manufacturing market in Western India. Maharashtra and Gujarat, key states of the western region, called the manufacturing hub of India continue to receive big-ticket investment projects. The region is leading in terms of investment opportunities, manufacturing capacity, and investment-friendly locations besides good connectivity infrastructure and logistics, all favorable for setting up industries. Besides other manufacturing industries, auto has a strong base with the presence of global OEMs, and Tier I and Tier II suppliers. In Maharashtra, Pune which leads in the auto manufacturing space has more than 4,000 manufacturing and ancillary units.
Supporting the manufacturing sector, Jidoka’s Solutions deliver complete automation of visual inspection, a process that is usually highly subjective. Leveraging cutting-edge technologies, the QC solutions automate the process of visual quality while increasing consistency and accuracy at high speed. The technologies include deep learning algorithms, advanced image augmentation techniques, and edge computing for high-speed decision-making on complex problems.
Sekar Udayamurthy, CEO and Co-founder, of Jidoka Technologies, said, “Western India is an important strategic growth region for Jidoka. We look forward to supporting the manufacturing sector in the region with our near-zero-defect manufacturing solution. Our AI-enabled visual inspection solution empowers manufacturers to harness high business value by improving quality, reducing costs, and increasing throughput. Our Pune Center will be supporting customers in the manufacturing industry across Maharashtra and Gujarat.”
Jidoka Technologies is also increasing its global presence and establishing itself in the US market by launching its operations there. The organization has opened an Experience Center in Dallas. It already has a presence in Lithuania, Europe.
Jidoka Technologies has expanded its operations in Chennai with additional office space. The new office will accommodate Jidoka’s rapid growth. Commenting on the development, Sekar said, “The whole team at Jidoka Technologies is excited about our larger office in Chennai. Being a significant milestone, this office space is better suited to accommodate our fast-growing team. Furthermore, the additional space will enable more innovation and expansion into newer markets.”
There are many benefits to manufacturers with Jidoka Solution as organizations can now digitize inspection and leverage the analysis to improve the process. On the quality front, Jidoka’s software improves the defect detection rate by 10% to 15% while also bringing down the false positives by as much as 30% to 40%. The ability to perform inspection in real-time by eliminating inspection as a bottleneck in the supply chain is also an added advantage.
About Jidoka Technologies:
Founded in 2018, by technology leaders, Sekar Udayamurthy, Dr. Krishna Iyengar, and Vinodh Venkatesan, Jidoka Technologies, the Chennai-based startup is a leader in the field of automated cognitive inspection and delivers cutting-edge engineering solutions.
Jidoka stands for a principle that advocates ‘intelligent automation’ or ‘automation with a human touch’ in Japanese. Jidoka ‘s QC solution primarily consists of two parts – the first being the hardware platform – which they have productized into five design groups. The second part is a software platform called Kompass that connects real-time decision-making to state-of-the- art AI, to create an end-to-end system for visual defect detection. For more information, please visit, https://jidoka-tech.ai/