Where AI Meets the Physical World — Quest Global’s Tinku Malayil Jose

AI is no longer confined to software dashboards and chat interfaces, it is increasingly embedded into physical products, devices, and systems. What changes when intelligence moves from the cloud into real-world hardware?

This week's VentureFuel Visionary is Tinku Malayil Jose, Head of the Vertical Technology Office for HiTech at Quest Global. He has more than 20 years of experience building complex products, from smart TVs and streaming platforms to automotive systems and IoT. He also operates at the intersection of silicon, software, and real-world application.

In this episode, we ask Tinku to break down the shift from AI hype to reality, explaining why the future of AI isn’t just software, it’s embedded in physical products, devices, and systems. He also shares what’s driving the rise of “AI appliances” and why purpose-built, domain-specific solutions are increasingly outperforming general-purpose approaches.

Episode Highlights

• Turning AI Into Real Products – Tinku shares how success with AI is not about building better models, but about converting them into scalable, reliable products that work under real-world constraints like latency, power, and usability.
• The Shift to Physical AI – He explores how AI is moving beyond software into embedded systems, powering devices, vehicles, and industrial environments where intelligence operates directly at the edge.
• Why Purpose-Built Systems Win – Tinku also explains why smaller, domain-specific AI solutions are outperforming general-purpose models, especially when designed around clear use cases and operational needs.
• Breaking Out of Pilot Mode – He outlines why many companies stall at experimentation, and how shifting mindset, ownership, and workflows is key to scaling AI across the business.
• Startups + Enterprises = Scalable Innovation – The conversation highlights how startups act as focused problem-solvers while enterprises provide scale, making collaboration between the two critical to bringing AI solutions into production.