Grid Dynamics analytics platform for smart manufacturing: A Jabil case study

As AI agents move from experimentation to enterprise deployment, the real opportunity lies in scaling them with reliability, observability, and governance. A Fortune 500 global manufacturer operating more than 100 plants worldwide recognized this early and set out to turn decades of distributed kno...

Delivering customer service at the speed of today’s expectations is not optional anymore. See how a leading automotive retailer restructured its e-commerce search and customer support by implementing a conversational AI agent on WhatsApp and achieved response times as fast as 3 seconds, enablin...

Robotics inspection systems, like the one we developed in partnership with SmartRay, address the costly and time-consuming inefficiencies related to complex robotic operations in manufacturing. With SmartRay’s AI robotic inspection platform, you can automate optimized toolpaths for inspection in mi...

Discover how we've reshaped tire recognition technology through advanced AI methodologies, leveraging deep learning visual models and seamless integration with Amazon Web Services (AWS). In collaboration with a prominent automotive industry leader, we've addressed the critical need for precise tire...

Without data observability in their production pipeline, this Fortune 500 manufacturer encountered multiple data issues that drastically impacted time-to-market, added significant development overhead, and complicated the product development roadmap. A data observability solution simplified, accele...

A global industrial technology leader in transportation and mobility faced multimillion-dollar annual losses from fuel distribution challenges, including leaks, theft, and meter inaccuracies. By deploying a cloud-native AWS analytics platform in just seven days, the company implemented AI-powered a...

A leading healthcare revenue cycle management (RCM) SaaS platform provider faced a fixed deadline to migrate its on-premise, monolithic claims platform. Rapid growth and multiple acquisitions had compounded legacy debt, making the .NET 4.5 application difficult to scale and maintain. The company ne...