Stanford graduates Jenny Duan and Abhinav Agarwal want to solve two hard problems: create a good-looking wearable and measure hormones to help women understand their health better.
The pair is building a startup called Clair Health to track inflammation and bloating markers, energy levels, and cycle phase classification to give insights into cycle irregularities and perimenopause, as well as hormonal fluctuations, and how to navigate those changes.
The company has raised $11.6 million in a funding round led by Khosla Ventures, with participation from startup accelerator program a16z speedrun, Brydge Club, Treehub, Cartan Capital, AGI House, Insiders VC, Anne Wojcicki, and Stephanie Coleman.
The startup said that in order to collect more user-specific data, it uses voice-based onboarding to understand their health markers. What’s more, the company claims it has trained its own AI to analyze voice-based biomarkers and determine which phase of their cycle a user is in after just a few minutes of conversation.
“What we found is that in women’s health and in the current state of apps, women can’t communicate a large amount of symptoms because the apps are built for only specific ones. With our voice stack, we are giving our users a way to communicate their own problems in their own way,” Duan said.
Through its wearable, Clair Health said it’s able to determine what is causing hormones to change and how the body responds to those changes by evaluating the biomarkers picked up by its sensors. It also continuously monitors changes through the four phases of a menstruation cycle and doesn’t just rely on the day of menstruation. Through these markers, the app shows information about the pace of aging, inflammation and bloating, and the rate of perceived exertion.
Clair Health also wants to help women seeking care for menopause and perimenopause by providing more data to share with healthcare providers, allowing them to receive better support rather than orally recounting their symptoms.
Duan said that she became interested in women’s health while working at a nonprofit in Portland, Oregon, during school. Later, she took a class at Stanford that was focused on women’s health and nonprofits, and during that time, she met Agarwal.
The startup argues that typical health-tracking devices like Apple Watch or a Pixel Watch rely on sensors like a gyroscope, an optical/PPG sensor, and a temperature sensor, which are not enough to track hormonal health. Clair Health’s device has 10 biosensors, including a novel biomagnetic sensor for hormonal insights.
“Until today, there hasn’t been a single device, be it invasive or noninvasive, that can capture insights into hormones in real time and get to the source of a problem. We didn’t start by thinking of building a particular piece of hardware. We just wanted to track hormones continuously,” Duan told TechCrunch.
The company said that it is building its own model based on different biomarkers for women’s health, with data partnerships with access to several million electronic health records and longitudinal health data. Through its data partnerships, it wants to create insights into different issues, including endometriosis, PMDD (premenstrual dysphoric disorder), perimenopause, and more.
The startup is currently testing its device with a closed group of beta users and plans to ship units in November at a price point of $369 paired with a $9.99 monthly subscription. Users can place preorders for the device now.
Mary Minno, an investor at Treehub, a Stanford-adjacent residency backed by the AI Health Fund, said that Clair Health is solving the problem of giving women actionable insight into their hormonal health.
“Users want a product that does what it says it is going to do. Hormonal health measurement today is still archaic — my perimenopausal friends are still getting blood draws to understand the efficacy of hormone treatments. Out of the gate, Clair aims to deliver a product that shines a light on what previously required a blood draw,” Minno told TechCrunch via email.
Startups are trying many approaches to measure hormone health. For instance, Level Zero Health focuses on continuous tracking through glucose monitor-style devices, while Hormona relies on home tests. Then there are apps like Ourself Health that rely on AI to provide insights based on manual logging done by users.
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