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Computing & Data Science

To manage complexity at scale, one must solve compu­ta­tionally intract­able problems and use computers to aug­ment the human intellect. Our computer scientists and engineers, in collabo­ration with our applied mathema­ti­cians and physi­cists, help you gain formid­able new capa­bi­li­ties, by achieving these objec­tives with advanced computing & data science.


Logistics Optimization

Large companies do logistics for their own operations, or for customers. Logistics involves multiple problems such as delivery planning, warehousing and packing. Each of these problems require an enormous amount of decision making based on extremely huge search spaces. Theoreticians call such problems NP-hard — code for “really hard to solve”. No existing computer can find optimum solutions for such problems, but we have developed algorithms that give close enough solutions.

Learn more about our logistic planning technologies

Human Guided Machine Vision

Humans and machines have different strong points. Machines are fast and precise. Humans understand context. Instead of building machine algorithms to replace humans, this project envisions a symbiotic relation between humans and machines to achieve machine vision tasks. Together, humans and machines achieve vision tasks with speed, accuracy and precision — better than either would alone.

See applications