For a decade, I worked both sides of commerce technology — building a coordination layer on the Amazon homepage, where every internal program competed for the same customer moment, then buying best-of-breed systems as a VP at Kohl's. I watched the same thing fail from both sides of the table: search, ads, promotions, loyalty, personalization — each best-in-class, each unaware of the others, contradicting each other on the page the customer actually sees.
That was the insight. Commerce doesn't have an intelligence problem. It has a coordination problem.
The last decade made every tool smarter. Nothing got them to agree — and as AI turns each system into an agent making faster autonomous decisions, the gap only compounds.
Some companies will add more tools. The winners will add coordination.
— Rahul Chaudhari, Founder & CEO
Rahul spent over a decade building and buying commerce technology — at Amazon, where he owned a multi-billion-dollar category P&L and built homepage coordination systems, and at Kohl's, as a VP of Product & Technology. He built it at Amazon and bought it at Kohl's — and watched the same coordination failure surface from both sides of the table. Born and raised in India and now based in Seattle, he's a diehard Test cricket fan — the five-day format most fans have traded for quicker thrills — and can usually be found on a squash or pickleball court when he's not building AIORA.
Satish has spent 25+ years in software development, the last eight leading engineering teams at Amazon, building supply-chain and customer-support platforms for a new Amazon business ahead of global launch, and before that unifying Kindle across Android, iOS, Fire, and Mac for millions of users. He's now Tech Co-Founder at AIORA, drawn to the chance to build something from zero — the kind of work he's always gravitated toward and done best. Raised in India and now based in Seattle, he's a lifelong cricket fan and TV binge-watcher who's lately taken up lifting and renting motorcycles for summer rides.
Sravan has spent nearly 17+ years across the full stack of computing infrastructure and leading software teams — from silicon at Intel and Qualcomm, to distributed systems at Amazon, to hyperscaler storage performance at Google. He advises AIORA on system architecture, product strategy and technical direction. Based in the Seattle area, loves to play Chess, sip Coffee and enjoys hiking.
Rajat spent 15+ years inside the analytics functions at Meta, Amazon, Expedia, and Nielsen, as both an individual contributor and a manager of teams, working on experimentation, causal inference, forecasting, and measurement — balancing statistical rigor against practical constraints and incomplete information. At AIORA he is helping build the analytics and measurement layer. He lives in Seattle, follows cricket, shoots pool, and hikes when the weather allows. He also wrote The Accidental Data Scientist, a field guide to data science careers.