Flo Health adopts Databricks to boost AI-powered menstrual cycle tracking

Femtech company Flo Health has adopted Databricks’ data intelligence platform to strengthen its analytics and AI capabilities, aiming to deliver more personalised menstrual cycle predictions.

The period tracking app replaced fragmented systems and legacy infrastructure that had previously limited its ability to scale and deliver cohesive, AI-powered user experiences.

The move has helped Flo improve data management, strengthen governance, and enhance the delivery of personalised health insights to users worldwide, according to Databricks.

“Our previous systems couldn’t handle the scale and complexity of our data,” said Roman Bugaev, chief technology officer at Flo Health. “Databricks’ Data Intelligence Platform provided the centralised data and AI platform we needed to innovate much faster and create a purpose-driven data strategy with data democratisation at its core.”

Since implementing the platform, Flo Health reports a 45 per cent increase in internal monthly active users and a 57 per cent rise in weekly active users.

The team is using Databricks to fine-tune large language models for ‘Ask Flo’, the app’s generative AI-powered health assistant, using Mosaic AI—Databricks’ domain-specific AI agent solution.

To meet compliance requirements, including those related to data privacy, Flo Health uses Unity Catalog—an open governance solution for data and AI—to enforce access controls across data workflows. This supports features such as the app’s ‘anonymous mode’, which safeguards sensitive customer data.

Databricks is now used by 46 per cent of Flo Health employees each month—including engineers, data scientists and business analysts—to support informed decision-making.

The team is also piloting AI/BI Genie, a Databricks feature that allows business teams to interact with data using natural language—for example, asking “What were our active users last month?” and receiving instant answers.

Flo has also integrated Databricks Assistant, a conversational AI tool, to help streamline structured query language (SQL) query debugging. As part of a broader initiative called ‘Copilot’, this assistant is enabling product managers and analysts to work more confidently with SQL.

“Ensuring that our employees are data-driven and can interact with data in natural language is paramount to us offering the best possible service to our customers,” said Bugaev. “The Databricks Data Intelligence Platform offers the privacy, scalability, security, and ease of use to help us make a positive impact on women’s healthcare, and I’m excited by where the partnership can go next.”

Nico Gaviola, vice president of emerging enterprise and digital natives at Databricks, said: “Digital natives like Flo Health are looking for smarter, faster, more reliable ways to translate vast amounts of data, safely and securely, to aid innovation on a global scale. Flo Health and Databricks share a commitment to using data and AI for societal benefit, so we’re thrilled the team has found so much value in Databricks’ Data Intelligence Platform to make a real difference in people’s lives.”

The partnership comes as Flo Health faces a trial in the US over allegations that it shared users’ sensitive health data with firms, including Meta, between 2017 and 2019.