Paul Blankley
Co-Founder and CTO
Zenlytic
Paul Blankley is the co-founder and CTO of Zenlytic, which makes Zoë, an AI data analyst that helps businesses go from facts to impactful decisions. He has over nine years of experience in data & AI, holds a master’s in data science from Harvard, and spends his off-hours snowboarding and rock climbing in Denver, Colorado.
How Intelligent Analytics is different from old school BI
Intelligent analytics is a radical leap beyond legacy BI. Instead of isolated queries and rigid dashboards, modern analytics platforms deliver trusted, deep insights via natural language, unified datasets, and AI-driven context. Zenlytic’s platform blends trust, depth, and the concept of an AI data coworker, enabling business users (not just analysts) to ask “why” and “what if” across campaigns, data sets, and business scenarios. With intelligent analytics, you don’t just see what happened you understand what’s actually going on and what to do next.
Introducing Citations: AI Data You Can Trust
Most AI chatbots generate numbers fast—but without trust, they’re useless. Zoë, the AI data analyst from Zenlytic, changes that with Citations. Every metric and summary Zoë produces is backed by real data sources, giving teams full transparency, explainability, and confidence in every insight. Finally, an AI you can trust.
From Data Chaos to Clarity, Meet Clarity Admin
Zenlytic’s Dynamic Fields Admin Panel, powered by the Clarity Engine, shows exactly what concepts users are asking Zoë about — and how often. When users request metrics or fields that don’t yet exist, those ideas are captured automatically, so data teams can review, refine, and promote the most valuable ones into the company’s standardized data model.
Why Semantic Layers Aren’t as Safe as You Think
Semantic layers promise consistency but limit flexibility and trust. Zenlytic’s Clarity Engine takes a different approach, combining explainability and transparency so teams can explore data with confidence.
Why AI Analysts Don’t Fail at SQL, They Fail at Trust
The biggest challenge in AI analytics isn’t SQL or charts—it’s trust. Zenlytic’s Zoë solves the black box problem with explainability and consistency, transforming AI from a novelty into a true data analyst teams can rely on.
Why Explainability Is the Key to Trusting AI in Data Analytics
Explainability is the foundation of trust in AI analytics. With Zenlytic’s Clarity Engine, Zoë combines flexibility with transparency, providing SQL-backed explainable metrics that teams can trust for real-world decisions.
