Can identity resolution work without AI? Steven Renwick from Tilores explains

Episode notes

There’s a lot of noise around AI and identity right now. Hightouch just launched Adaptive Identity Resolution, Meiro is leaning hard into real-time CDP-native matching, and Amperity continues to push its probabilistic + deterministic blend for enterprise brands. But when someone asked me whether GenAI could solve identity resolution, I went straight to someone who’s seen the inside of the problem: Steven Renwick , co-founder and CEO of Tilores . Steven and his team aren’t building another black box, they’re focused on traceability, reversibility, and real-time performance for messy, high-volume data. In this episode, we dig into what that actually means in practice. Topics we cover: * Why Tilores avoids GenAI for core matching - and where it does use LLMs * Entity graphs, not vector embeddings * Using RAG (retrieval augmented generation) to query resolved identities * Matching for fraud use cases, telecom mergers, and multi-brand insurance data * Why explainability still beats hype in regulated industries “Fraudsters aren’t always smart.

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