Press · Research · Media
Skin intelligence at the intersection of skincare, behaviour and wearable signal.
Stella connects repeated skin scans with skincare routines, behavioural context and wearable signal to help people understand how their skin changes over time.
Media enquiries · Interviews and commentary available
Current story angles
Wearables
People already track sleep, stress and recovery through wearables like Oura, Apple Health and Garmin. Stella explores whether skin may sit in that same ecosystem as another observable signal connected to behaviour and physiology.
Women's health
Early observational signals from Stella users raise questions about how cyclical hormone fluctuations, hormonal contraception, pregnancy, perimenopause and menopause may influence skin behaviour over time.
Methodology
Stella connects repeated skin scans with skincare routines, behavioural context and wearable signal to help people understand patterns and changes that may not be obvious day to day.
About Stella
Stella is a skin tracking platform that connects repeated skin scans with skincare routines, behavioural context and wearable signal to help people understand how their skin changes over time.
30-second phone-camera scans, repeated week over week. Patterns emerge from the series, not a single reading.
What people use, how often, and how skin responds over time. Routine is a tracked input, not a recommendation surface.
Connects observed skin patterns to lifestyle, environment, sleep, stress and cycle — where users opt in.
Reads alongside the things that move skin via Apple Health, Oura, Garmin and others.
Output is longitudinal: what's holding up, what's shifted, and what hasn't shown enough yet to call.
Apple Health, Oura, Garmin and others are listed as integrations. They are not partnerships or endorsements.
Stella does not promote sponsored skincare products or affiliate recommendations.
Selected for the Startup Arena at Digital Health Festival, Melbourne 2026.
Research & data
Stella observations are exploratory and observational rather than controlled clinical studies. As the platform grows, so will the dataset behind these observations. We share what we see, and what we don't yet know.
We observe patterns in what users see in their skin over time. We do not run controlled trials.
We treat early signals as hypotheses to investigate, not conclusions to publish.
Patterns emerge over weeks and months of repeated scans, not a one-off reading.
Skin observations are read alongside skincare routine, sleep, stress, cycle and environmental context, where users opt in.
What we know grows as the platform grows. We update our public framing as the evidence does.
Nothing Stella surfaces is medical advice or a diagnosis.
Technology
A short note on what's under the hood — and what isn't. Stella's vision processing runs on enterprise-grade foundation models. The proprietary layer is everything around them.
Stella uses enterprise vision foundation models for raw image processing. The work that makes the output usable — what to capture, how to compare it, what to read from it — is ours.
Skin observations are only as comparable as the images they're read from. Stella's capture protocol controls lighting, distance and framing so a week-to-week series can be read as a series, not a set of disconnected snapshots.
The underlying model isn't asked open-ended questions about a face. It's directed against a defined skin-signal rubric, region by region, against the same metric definitions Stella's consultant dermatologist uses in practice. Observations sit in a fixed schema, not freeform output.
Stella uses enterprise model endpoints under strict data-handling terms. User images are not retained by the underlying model providers, are not used to train their models, and sit inside Stella's own privacy framework.
Team
Jo and Alice lead media engagement. Both are available for interviews, commentary and background conversations.
Cofounder · Patient and skin-health perspective
Registered nurse with twelve years across emergency, clinical and cosmetic care. Speaks to patient experience, longitudinal engagement, and how skin sits in everyday health behaviour. First point of contact for press scheduling.
Cofounder · Consultant Dermatologist · Head of Skin Science
Registered Dermatologist and Fellow of the Australasian College of Dermatologists. Twelve years at Skindepth, the practice she founded; eleven on staff at Alfred Health. Speaks to dermatological science, the limits of observational data, and what Stella does and doesn't tell you about real skin conditions.
Cofounder · Technology
Builds Stella's platform and the systems that read skin signal at scale. Available for background conversations on architecture and methodology.
Cofounder · Head of Marketing
Brand and growth. Available for background on positioning, audience, and how Stella reaches the people it's built for.
Media assets
Logos, product screenshots, lifestyle photography and team headshots. Download what you need or take the full pack as a single download.
Media & commentary
Joanne Wismeyer RN and Dr Alice Rudd are available for interviews, commentary and background conversations relating to skin tracking, wearables, skin behaviour and observational skin data.
Press contact
Joanne Wismeyer RN
Cofounder, See Stella
Replies inside two business days.
