Kinect
ActiveAgentic Storefronts for E-Commerce Brands
About
Kinect builds AI agents that know your brand, your catalog, and your customers' taste. On your site, they sell every visitor — running the conversation, adapting product pages in real time to each customer segment, picking the right recommendation for the question being asked. The agent picks up on what each shopper actually wants from how they ask, what they hesitate on, what they compare, and what objection makes them bounce. The storefront stops being a static grid and starts being a salesperson. We take all of a brand's data and make a structured catalog, brand voice, fit notes, return reasons, segment-level nuance — all so the Kinect agents truly can speak about a brand. When an agent describes the brand, the version it describes is the one you'd want them to, not whatever it guessed from a public catalog scrape. Every interaction becomes signal the brand owns. The model gets sharper, the storefront gets better at selling, every session. Kinect continues to optimize on intent data, user journey data, agentic search data, and more. Over time gaps are filled and conversion for agentic commerce continues to improve. We're building for human shoppers today and the AI agents that shop and discovery for them. Either way, the entire website needs to get a lot smarter and personalized. Two surfaces. One brand layer. Built for scaling DTC ecommerce brands.
Founders · 2
CEO & Co-Founder of Kinect. Previously worked at Google Commerce. Built detection models at Anduril, and was on the enterprise new-products team at Verkada. Before Kinect, I was leading the Conversational Intelligence team at Reevo, helping B2B sellers go into each meeting more prepared and win more. CS @ UCLA
Co-Founder at Kinect. Previously led the Context Graph team at Reevo and worked as an engineer at MongoDB and Capital One. Advised Sephora on "Ask AI" tools. Built and scaled his own e-commerce brand to $15K in revenue. As President of NextGen Consulting, led engagements with leading retail brands and sourced $200K+ in contracted ARR across 10+ clients. Former D1 squash player and peaked at #23 in the US.
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