Farrukh Khan

is the most profound technological disruption since the invention of the internet. It’s not just hype—when applied thoughtfully, GenAI can fundamentally transform how enterprises operate, how people work, and how decisions are made. That belief drives everything we do at Inference Analytics: building secure, enterprise-ready AI that doesn't just sound smart—it actually delivers real results.

We were early. Back in 2019, long before ChatGPT or foundation models became household names, we published research on AI-powered text generation for clinical use cases in IEEE. Since then, we’ve built a platform used by over 2,000 professionals across hospitals and are now scaling into manufacturing, life sciences, and other regulated industries where trust, compliance, and performance matter.

Before Inference Analytics, I led product and business units at some of the biggest names in data and analytics. I was VP and GM for IBM’s Distribution Sector, and earlier served as VP of Products at IRI. My product journey started at Informatica and MicroStrategy, and I actually kicked off my career at McKinsey & Company as a Technology Specialist working on digital transformation and enterprise tech strategy.

I hold a Bachelor’s in Electrical Engineering and Physics from Columbia University and an MBA from Kellogg at Northwestern. But most of what I’ve learned has come from building things, scaling teams, and working with some of the most demanding (and inspiring) industries in the world.

At Inference Analytics, we’re not just building AI—we’re building for impact. We’re obsessed with making GenAI work where it matters most.