Three signals,
one body map.
CARNA AI HealthViewer reads the body through non-invasive biosignals and fuses them with the proprietary AIQRM Fusion™ + AI-BMF engine — turning a single, roughly three-minute session into 250+ wellness reference indicators. No blood, no needles, no radiation.
Contactless & touch-based, by design.
Two primary biosignals do the heavy lifting; a supporting resonance signal adds context. Together they let one session describe the whole body.
Remote Photoplethysmography
A standard camera reads micro-fluctuations in facial blood flow from ordinary light — the basis for circulation, heart-rate and autonomic wellness signals. Completely contactless.
Bioelectrical Impedance Analysis
Through a handheld stick, a safe, imperceptible micro-current maps body-composition and fluid-balance reference metrics such as body water, lean mass and cellular integrity trends.
Resonance Measurement
A supporting handheld signal that enriches the fused reading with additional context, improving the stability of the composite wellness indices rather than standing alone.
Where signals become a single picture.
The proprietary AI-BMF (AI Biosignal Multimodal Fusion) engine cleans, aligns and fuses the raw signals — then scores them into composite wellness indices across multiple body domains.
Guided session
rPPG and BIA signals captured in one ~3-minute session with live quality feedback.
AI-BMF engine
Signals are denoised, time-aligned and fused into composite wellness reference indices.
Big-data reference
Each reading is compared against a large biometric reference set for population-aware context.
CARNA AI SLM
Numbers become plain-language guidance — visual, personalized and multilingual.
The body read as one system.
CARNA AI doesn't treat each metric in isolation. Signals from one domain inform estimates in another, so circulation, metabolic balance, stress and composition are interpreted together — producing a coherent whole-body snapshot rather than a set of disconnected single-function readouts.
- 250–300+ indicators mapped from a single guided session.
- Multi-domain scoring across circulation, metabolic, stress, composition and more.
- Trend-aware — baseline-relative change tracked across repeat sessions.
A reporting engine trained on real readings.
The CARNA AI Small Language Model is trained on a proprietary dataset of 200,000+ health records, purpose-built to replace general-purpose report generation. It turns the fused indices into clear, personalized language — what each value suggests and practical, non-medical wellness guidance.
- 16 report types — from circulation and metabolic balance to trend and recovery.
- 15 languages — Korean, English, Japanese, Chinese (Simp./Trad.), Vietnamese, Indonesian, Tagalog, Thai, Arabic (RTL), French, Russian, Hindi, Portuguese, Mongolian.
- Live Chat — users can ask about their own results in natural language.
Multimodal synergy, hard to imitate.
Most devices report a single function. CARNA AI combines multimodal sensing, deep-learning fusion and a big-data reference base into one whole-body report.
| CARNA AI HealthViewer Multimodal wellness intelligence | Typical single-function devices Body composition · BP · HR | |
|---|---|---|
| Signals | rPPG + BIA (+ supporting RM), fused | Usually one sensor type |
| Coverage | 250–300+ whole-body wellness indicators | A handful of single-domain metrics |
| Interpretation | AI-BMF fusion + big-data context + SLM report | Raw numbers, little context |
| Output | Visual report + plain-language guidance, 15 languages | On-device figures only |
| Session | ~3 minutes, contactless / touch-based | Varies |
One session, a whole picture.
See the technology in the field.
Explore the report engine, review our certifications, or talk to us about bringing HealthViewer to your market.