What we talked about
Khurram Hussain: Khurram Hussain is the founder and CEO of IRVINEi and Mojo Solutions and Services, and he is building OVAL, an edge AI home hub that brings compute, computer vision, and voice AI directly onto the device. In this conversation, Khurram explains why the future shifts from cloud to edge, with edge enabling lower cost, faster response, and stronger privacy because sensitive data can stay local instead of being monetized by large platforms. He shares the personal story that sparked the journey: his autistic son ran out of the house and the cameras recorded it, but the system did not understand the situation or alert him in time. That experience pushed him to ask why cameras cannot deliver meaningful, real time intelligence, and led to the conclusion that cloud based approaches are too expensive for always on vision and advanced reasoning at scale.
Show notes
Khurram Hussain’s four-year-old autistic son ran out of the house toward the swimming pool, and the family did not notice for ten minutes. The Ring camera recorded everything but never triggered an alert. That gap, between what cameras capture and what they actually understand, became the founding problem behind OVAL, an edge AI hub designed to give homes and other environments the kind of real-time visual intelligence that cloud-based systems cannot deliver affordably or privately at scale.
What we covered
- Hussain frames OVAL the way IBM’s personal computer was framed in 1981: a new category that most people do not yet understand. Just as the IBM CEO at the time thought the world needed only about 100 computers, everything today runs through centralized cloud infrastructure, but Hussain believes that will shift as AI compute on the device becomes cheaper, faster, and more capable of protecting user data.
- The AI bodyguard concept goes well beyond motion detection. OVAL’s computer vision can distinguish whether a person at the door is brandishing a weapon, whether a grandparent who has fallen is moving or needs 911, and whether a child is approaching a swimming pool, all in real time, on device, without sending footage to a cloud server for analysis.
- Ring’s Super Bowl ad sparked a public controversy over the use of customer camera data to identify neighbors’ dogs without explicit consent. Hussain argues this is the inherent problem with any large cloud-dependent platform: the incentive to monetize data is structural, not incidental. Keeping compute and data on the edge removes that incentive by design.
- The software stack OVAL is built on did not exist before they created it. Hussain describes it as the equivalent of what iOS and Android provide for mobile apps, a foundation layer that lets developers build and deploy AI agents, models, and apps on edge hardware. He says they have already identified over 100,000 potential AI use cases the platform could support and are running a pilot with a small group of developers building on top of it.
- At the time of recording, OVAL had 350 customers pre-orders waiting for shipment, three signed distributors, and roughly 14 to 15 more distributors lined up. Hussain expected to begin shipping within 90 days, with an Amazon store also in the pipeline.
- The hardest part of building the product was not the technology itself but finding and holding together a team that is motivated by the vision rather than by near-term financial outcomes, a challenge he says Meta and Google would describe as one of their core ongoing difficulties, even with far greater resources.
About Khurram
Khurram Hussain is the founder and CEO of IRVINEi and Mojo Solutions and Services, where he has spent more than a decade building companies around emerging technology with a focus on AI and practical edge computing. OVAL, their flagship product, is available at hellooval.com.
- LinkedIn: https://www.linkedin.com/in/khurram-hussain-1673b4383
- Website: https://irvinei.com
Episode 122 of the PreVetted Podcast.