From symptom tracking to measurable insight: How AINOHA adds vitals to perimenopause care

Perimenopause is tracked mostly through symptoms - but symptoms alone don’t tell the full story.

AINOHA set out to add something more objective: a way for women to see what’s happening in their bodies, not just describe it. Contactless health checks are a key part of that.

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A platform built for every woman

AINOHA was created to support women through one of the least understood phases of life. Perimenopause can last for years, with symptoms that shift over time and often feel disconnected: poor sleep, fatigue, mood changes, anxiety.

For many women, the experience is confusing. When they finally reach a medical appointment, they have limited time and little data. They rely on memory, trying to explain months of symptoms in a few minutes.

AINOHA changes that dynamic. The app combines symptom tracking, expert content, and an AI assistant into one place. Over time, it builds a structured view of what is happening: patterns, trends, and changes that users can actually see. Instead of isolated moments, they begin to understand the bigger picture.

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“From day one, our goal was simple: any woman with a smartphone should have access to the same health data, whether she owns a wearable or not. Shen AI made that possible without adding any friction or hardware dependency."
- Romain Schneeweis, CEO & founder of AINOHA

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Objective data was not available to everyone

From the beginning, AINOHA wanted to make the platform accessible to every woman, not just those already engaged in health tracking.

That created a clear challenge. Wearables could provide heart rate, variability, or other signals. But not every user owns one. Many don’t want to wear one at all. Relying on hardware would mean building a system where some users have access to deeper insights, and others don’t.

For AINOHA, that wasn’t acceptable. The goal was simple: any woman with a smartphone should have access to the same level of information. That meant finding a way to collect physiological data without adding friction, cost, or complexity.

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Why Shen AI

AINOHA explored different ways to bring physiological data into the app. That included wearable integrations and third-party solutions.

What stood out about Shen AI was not just the technology itself, but the model behind it. Vital signs could be captured through a short face scan, using a standard smartphone camera. No additional device. No setup. No dependency on external hardware. This aligned directly with how AINOHA wanted the product to work: simple, scalable, and accessible.

The data itself also mattered. Metrics like heart rate, HRV, blood pressure, and stress index provide signals that are relevant not just in the moment, but over time, especially as cardiovascular risk becomes more important during and after perimenopause.

Instead of a single snapshot taken during a medical visit, users could start building a continuous record.

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From skepticism to confidence

Before integrating the technology, the team had the same questions most people have when they first encounter camera-based measurements: Does it really work? What if the user moves, wears glasses, or has makeup on?

These questions didn’t stay theoretical for long. Medical advisors working with AINOHA tested the results themselves. They compared readings from the app with data from devices they already trusted - Garmin watches, Omron blood pressure monitors, and other tools used in practice.

They checked side by side. The results aligned.

That process shifted the conversation. What started as skepticism turned into curiosity, and then into acceptance. The technology became something they were comfortable exploring further, not something they questioned at every step.

Inside the AINOHA team, the same shift happened. After months of real-world use across devices and users, confidence in the measurements grew because of repeated, consistent experience. 

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“Our medical advisors tested it themselves. They compared the readings with their Garmin watches and Omron monitors, side by side. Everything lined up. They went from questioning it to asking if we could put it in their office.”
- Romain Schneeweis, CEO & founder of AINOHA

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Integration without disruption

AINOHA built its platform in-house, which meant any new component had to fit into an existing system that was already evolving quickly. The integration of Shen AI didn’t require a redesign.

From a technical perspective, it was implemented quickly and began working almost immediately. When small issues appeared, they were resolved through fast iterations and support, without slowing down development.

More importantly, from a product perspective, the scan fit naturally into the user journey. It wasn’t introduced as a standalone feature, instead, it became one of several inputs that help users understand their health over time. That distinction matters.

AINOHA does not present vitals as an answer on their own. They are part of a broader system that includes symptoms, behavioral inputs, and long-term trends. The value comes from how these signals combine, not from any single measurement.

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Looking ahead

AINOHA is still early in its growth, with a strong focus on refining the product before scaling to a larger user base. The team is closely tracking how users interact with each part of the platform, using data to understand where value is created and where friction still exists.

What is already clear is the direction. By combining symptom tracking with accessible physiological data, AINOHA is building a more complete way to understand perimenopause; one that is not limited by access to hardware and not dependent on memory alone.

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