Today
Measure the body
A short camera scan estimates heart rate, HRV and breathing rate, with signal-quality gates and personal scan history.
Live today
Pre-seed · Camera-based health intelligence
The camera is the gateway to human health.
moonScan turns an ordinary front-facing camera into a contactless health sensor. A 30 to 90 second face scan already estimates heart rate, HRV and breathing rate. No wearable, no contact, no extra hardware.
Estimates depend on signal quality. moonScan provides wellness insights and is not a medical device.
37,000+Existing customers
$2.3M+Lifetime consumer sales
0.80 bpmMedian beta difference
01 /Proof
Distribution, revenue history and an early accuracy signal.
An unusually concrete starting position for a deep-technology company.
37,000+Existing customers to launch into
$2.3M+Lifetime consumer sales by the same founders
0.80 bpmMedian absolute difference in the external HR beta
5+Early SDK and OEM interest signals
Internal analysis of 121 external beta scans from approximately 60 users. 96% of heart-rate estimates were within ±5 bpm of the reference. This is beta performance evidence, not clinical validation, and results depend on sufficient signal quality.
02 /The insight
The hardware is already everywhere. The missing layer is intelligence.
Wearables proved people want to understand their bodies. They also added friction: another device to buy, charge, wear and replace.
Cameras reverse that model. The sensor is already built into billions of phones, laptops, tablets, cars and mirrors. Software can activate it.
Face ID made the camera an identity interface. moonScan is turning it into a health interface.
Markets moving toward us
Four overlapping categories, all compounding.
32.7%CAGR, healthcare computer vision
Computer vision in healthcare32.7% CAGR
$5.3B today$15.6B by 2030
AI in healthcare38.9% CAGR
$50.7B today$505.6B by 2033
Remote patient monitoring20.0% CAGR
$30.9B today$110.7B by 2033
Digital health overall23.4% CAGR
$420.2B today$1.83T by 2033
External forecasts from Grand View Research, McKinsey and IDC. Layers overlap and are not additive. Bar lengths compare forecast size across layers. These are market forecasts, not moonScan revenue projections.
03 /Product progression
From measurement to meaning. From meaning to trajectory.
The same camera signal becomes more valuable as it becomes more personal and more widely embedded.
Next
Understand the person
Personal baselines, recovery and stress intelligence to explain what a measurement means for this individual.
Roadmap
Long term
Follow the trajectory
Longitudinal camera data showing how physiology shifts across weeks and months, embeddable through an SDK.
Forward-looking
04 /Why moonScan
Deep technology rarely starts with distribution.
moonScan has the beginnings of both the technology and the audience.
Distribution from day one
37,000+ existing customers and an owned audience give moonScan a warm launch surface most deep-technology teams never have.
The hard part is quality
Camera vitals fail on motion, lighting and skin-tone variation. moonScan is building the quality and production-evidence infrastructure that problem requires.
Early platform pull
More than five early SDK and integration signals across fitness, cognitive health, smart mirrors and digital care, before a formal SDK launch.
Proven consumer execution
The founders grew their previous consumer business from roughly $500 to $470,000 in 10 months and $2.3M+ in lifetime sales.
05 /Business model
One engine. Two paths to scale.
Consumer
Build the habit
A freemium health check-in for anyone with a camera. Paid plans can unlock deeper HRV interpretation, recovery intelligence and personal trends.
Platform
Extend the reach
The same engine licensed through an SDK to telehealth, fitness, employee-health and connected-device partners. Software activates hardware that is already deployed.
Consumer usage builds the experience and the evidence. SDK distribution expands the reach.
06 /Founder
Personal mission, proven execution.
moonScan began after Viktor's fiancée, Sabina, experienced a severe inflammatory health attack. It exposed the gap between feeling healthy and understanding what is changing inside the body.
Viktor is a former elite tennis player, ranked number one in Slovakia under 14 with a junior win over Jannik Sinner. He built a marketing agency at 19 and grew moonlight's consumer business from roughly $500 to $470,000 in 10 months. He builds moonScan with co-founder and CTO Erik Bánczi, supported by computer-vision, machine-learning and health-science experts.
The mission is personal. The execution history is already visible.
07 /Backing
Already backed by operators who know hard technology.
Investors include Jason Butcher, an investor in Figure AI, and Mike Sherrill, a YC alumnus. More than $110,000 is committed toward the current pre-seed round.
Factual backing, no testimonials08 /The round
What the raise unlocks.
We are raising $600k to turn a working product into a global health platform.
A $600,000 pre-seed on a $3 million post-money CLA, with more than $110,000 already committed by angels.
- Medical-reference validation
- Native iOS app
- Recovery and stress intelligence
- First paid SDK pilots
- Two CV and ML hires