We started with designing sophisticated automatic and autonomous control units for railway maintenance equipment such as tamping machines, ballast regulators, diesel engines, unimogs, etc. We then moved on to other similar areas developing electronic components for various machines used in manufacturing operations and quality control testing, examples include extruders, etc.,
During those research and development projects we also acquired significant expertise in data collection, data analysis and artificial intelligence/machine learning skills. We also started developing tools to aid us in our research and development activities involving handling catalogs, searching for the most suitable components, dealing with customers and tendering processes.
we started to put all our expertise into developing a universal intelligent catalog that allows product developers (or anyone dealing with products) to efficiently search for the best components, engage in supply chain activities, even payments and automatize those processes with the help of artificial intelligence techniques as much as possible within the parameters set by the companies involved in transactions, at the same time keeping the human resources in the loop.
Organizations are struggling to integrate previously efficient, yet disconnected, IT systems, leading to wasted resources. The initial efficiency gains from siloed IT systems are being eroded by the high cost of integrating them. Eclectic IT adoption, initially seen as efficient, has become a burden for organizations now facing expensive integration challenges. Seamless integration across departmental, enterprise, inter-enterprise, regulatory, and stakeholder processes is essential for achieving true efficiency.
The combined advancements in artificial intelligence, robotics, and mobile communication are empowering the shift from automated systems with limited flexibility to truly autonomous systems capable of independent decision-making. Reliability and security still pose challenges.
Modernization efforts often involve breaking these applications down into smaller, more manageable pieces called microservices. These small services are usually deployed in the cloud.
Digital transformation is about technology integration, process transformation and cultural shift.
Industry 4 is all about interconnected machines, devices, and systems linked together via the Internet of Things (IoT) to share data and communicate. Tasks are increasingly automated using advanced robots and machines. Big data and advanced analytics are used to optimize processes, predict problems, and identify opportunities for improvement. Artificial Intelligence is used to make intelligent decisions, automate tasks, and improve overall efficiency.
Blockchain enables trusted transactions by eliminating the need for a central authority: This can streamline processes and reduce costs. It also provides a tamper-proof record: This builds trust and security.
Imagine you have a brilliant product idea. You want to develop, produce and sell this product but you also do not want to be an expert on all these supporting activities. You only want to concentrate on your product. Would not it be nice someone understands what you are doing and guides you about all the nitty gritty of the development process.