AI That Works for Your Retail Media Network
Most retailers are already using AI they cannot clearly explain.
Kevel's AI is built differently, with transparency, control, and real business results at the center of everything.
Kai powers key features in the Retail Media Cloud®. In Kevel Ad Server, it informs forecasting, pacing, decisioning, and custom relevancy to give retailers smarter results. In Kevel Audience, Kai’s advanced machine learning models provide user-level predictions and the AI-segment builder. With Kai, retailers promote the best advertiser and user experience and capture more ad spend from competitors.
You Should Have Full Visibility Inside Your Own Platform
In a market full of AI noise, these are the commitments that keep us focused on building technology that actually works for your retail media network.
AI Should Do Something
Transparency Is Non-Negotiable
Focused on Your Business, Not Ours
Sustainability Is a Strategy
Real AI Capabilities.
Real Results.
Going Deeper on Every Part of Our AI Stack
Retailers Are Already Seeing the Difference
“Predictive segments powered by machine-learning models have become very important for us as clients display different behaviors depending on the category with varying frequency of purchase and consideration periods.”
“Predictive segments powered by machine-learning models have become very important for us as client's display different behaviors depending on the category with varying frequency of purchase and consideration periods."
“Kevel has enabled us to rapidly scale, growing monthly iFood Delivery ad revenue by 20x in a single year, and empowering this product to become one of the main EBITDA levers for the company.”
Retailer-Controlled.
Transparent.
Built to Last.
We are the data processor. You are the data controller. Always.
Your signals stay in your network and do not benefit a competitor's.
Understand every decision your platform makes and explain it clearly to your advertisers.
AI that integrates with your existing stack, on your terms.
Led by an expert team
Tim Ewald
Tim is Kevel’s CTO and has spent the last 30 years building distributed software systems to solve problems in a wide range of domains, including image analysis, content management, video processing, databases, and ad tech. He brings his experience as an engineer, architect, and engineering manager to Kevel, where he is responsible for the entire cloud platform. Tim is an author and conference speaker, who holds a Bachelor's in Computer Science from Hampshire College. Outside of the office, he builds furniture using hand tools.
Paulo Cunha
Paulo has been building products for the digital marketing and advertising industry for over 18 years. After completing his BSc in Computing from London Met, he started his career developing products at companies such as Acxiom and Wunderloop – Europe’s first behavioral targeting technology. Paulo later founded ShiftForward, where he launched products such as the Private CDP and the Ad Forecaster and served as CEO, completing its exit to Velocidi in 2018 and later to Kevel in 2022. Paulo also helps tech startups as a board advisor and as a mentor in the Founders Founders community which he helped create in Porto, Portugal.
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Paul De Grandis
Paul is an information systems and innovation leader. He helps organizations use their knowledge and assets to gain competitive advantages through novel, strategic innovations and creative culture driven by a human-centered, results-oriented approach. Working with startups and Fortune 500 companies alike, Paul envisions and executes new technical strategies, unlocking value with next-generation information systems. He is a member of ACM and W3C Advisory Committee (Kevel’s AC Rep), and participates in the ACM Global Practitioner Advisory Board and W3C groups. His open source contributions include Clojure, ClojureScript, Pedestal, PyPy and more.
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