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[Home](/)[People](/people)Zackary Bhafti 

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# Zackary Bhafti

Co-Founder & CEO

[at ![Iris Dating logo](https://img.logo.dev/irisdating.com?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=56&format=png&fallback=monogram)Iris Dating](/companies/iris-dating)

Overseeing: [![Iris Dating logo](https://img.logo.dev/irisdating.com?token=pk_K6hdbPRcTQSnsRNEiZ-Ymg&size=48&format=png&fallback=monogram)Iris Dating ](/products/iris-dating-app "Iris Dating")

## About Zackary Bhafti

Zackary Bhafti leads Iris Dating as Co-Founder and CEO, steering the San Francisco-based platform's mission to revolutionize digital matchmaking through artificial intelligence. Since establishing the company in 2019, he has overseen the development of proprietary attraction prediction algorithms that leverage machine learning to analyze user preferences and surface higher-quality matches. Under his leadership, Iris Dating has positioned itself as a technology-first alternative in the crowded dating app market, distinguishing its approach through data science rather than conventional swiping mechanics.

Bhafti's entrepreneurial vision materialized when he identified a critical gap in how dating platforms approached compatibility, leading him to co-found Iris Dating and build it from concept to operational platform. His tenure has been marked by the strategic integration of relationship science with advanced AI capabilities, creating a matching system that continuously learns and adapts to individual user patterns. This founding role has established him as an innovator in applying predictive technology to personal connections.

His strategic value lies in bridging technical innovation with consumer-facing relationship products, bringing a unique perspective to an industry often criticized for prioritizing engagement over genuine compatibility. Bhafti's expertise in AI-driven personalization and his commitment to improving match quality through algorithmic precision position him as a forward-thinking leader in the evolution of digital dating. His work demonstrates how machine learning can be applied ethically and effectively to enhance human connection at scale.

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