Deepak Kumar

Everyone’s had that customer service call, the one where you say your name five times, repeat your problem to three different people, and sit through music that sounds like it was recorded underwater. It’s frustrating, and frankly, outdated. Customers don’t want to wait or explain themselves twice. They want to get help quickly and feel […]

Customer support isn’t about answering questions anymore; it’s about reading between the lines, recognizing intent before it’s spoken, and responding faster than a human could without losing the human touch. That’s where generative AI in customer support finds its edge, not in replacing people but in helping them be more present, more consistent, and more

No two businesses run the same way, which is why using the same tools rarely works for everyone. A company that relies on rigid templates or outdated systems often finds itself slowed down by tools that were never meant to support its actual process. Custom Software Development makes space for business logic that’s specific to

Design cycles aren’t what they used to be. They’re faster, messier, and harder to keep up with – especially when your team’s juggling tight budgets and tighter timelines. That’s where Generative AI steps in, not to replace designers, but to give them more room to think, test, and build. With help from a Generative design

Data is everywhere, but information is rare, especially in manufacturing, where machines whisper secrets in numbers, not words. That’s where AI-powered data analytics and connected IoT devices come in. When machines talk, we need something that listens, understands, and reacts. That something is industrial data analytics solutions, which take raw, messy data and turn it

Picture this: An industrial technician standing in front of a dead motor, parts scattered, the production line halted, pressure mounting by the second. No supervisor in sight. Manuals are outdated. The machine’s behavior doesn’t match the error codes. This is the daily chaos inside factories. But the silence is breaking.  With AI chatbots for equipment

Hospitals aren’t labs for tech demos. They’re loud, messy, unpredictable places where lives shift on a dime. Still, the hype around generative AI in healthcare makes it sound like miracles are just one algorithm away. So, what’s real? What’s useful? And what’s just smoke in a sterile room? This isn’t about predicting the future.  It’s

Most defect analysis meetings feel like déjà vu. Same problems. Same assumptions. Same blank stares around the room while someone blames the machine, the operator, or the weather. And yet, the defects keep coming. Manufacturing floors today are wired with sensors, cameras, and systems that record everything down to the second – but when something

Factories used to be loud, gritty, and not the kind of place where you’d expect a conversation. Especially not with a robot. But that’s changing fast. Operators no longer need to walk across the plant to report an issue. Maintenance teams don’t have to dig through binders or wait on updates. Machines are starting to

Most factories don’t break because of one big problem. They break because of a hundred small ones that nobody saw coming. One misaligned gear. One overheating motor. One ignored vibration that turns into a week-long repair. Now imagine this – your equipment tells you it’s about to fail. Not just a red light flashing. Actual