How Flo Mitigates AI Hallucinations for 75 Million Active Users | Roman Bugaev (CTO)

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Feb 24, 2025

Roman Bugaev, CTO at Flo, leads one of the largest women's health apps, transforming health management for over 75 million users. He discusses how AI enhances accuracy in cycle tracking and the importance of privacy-first approaches in digital health. The conversation delves into the challenges of AI hallucinations and biases in healthcare, emphasizing the need for human oversight. Bugaev also highlights the role of generative AI in crafting reliable medical content and proactive AI chatbots to support user health journeys. Engage and learn more about AI's impact on women's health!

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ANECDOTE

Flo's Success Story

Flo's success is partly due to their significant investment in product development, focusing on user experience and personalization.
Unlike other period trackers, Flo aims to create habit loops by offering valuable health insights and suggestions, increasing user retention.

INSIGHT

Personalization is Key

Personalization is key for Flo because users have unique needs based on age, location, and goals, making rule-based systems impractical.
Flo uses AI-powered cycle prediction and symptom prediction models to personalize the user experience, which contributes to their success.

ADVICE

Content Generation with AI

Leverage generative AI to scale content creation for various user segments while maintaining quality control with humans in the loop.
AI can personalize content and create variations, significantly improving user engagement and retention as demonstrated by A/B tests.

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Roman Bugaev is the CTO at Flo, one of the world’s largest health and fitness apps, with over 75 million monthly active users. Flo is revolutionizing women’s health by leveraging AI to personalize insights, improve engagement, and ensure medical safety at scale.

In this conversation, we dive deep into how AI is transforming digital health, from predictive cycle tracking to AI-powered chatbots that support users in their health journeys.

In this episode, we discuss:

How Flo’s AI-powered cycle prediction model improves accuracy and user engagement,
Role of generative AI in scaling high-quality medical content,
Challenges of AI in healthcare,
Why privacy-first AI and post-quantum encryption are critical in digital health,
And much more!

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Brought to you by Autoblocks (https://www.autoblocks.ai/) — helping teams build safe, reliable, and compliant LLM-based products.

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Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery explores how AI is reshaping industries in real-time. This season, we're diving deep into one of the most impactful and high-stakes applications of AI: healthcare.

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