Clinical-grade permanent hair removal
VELVALIZE fuses real-time bio-impedance spectroscopy, fluorescence-guided follicle detection, adaptive RF waveform modulation with a flexible pliers — delivering the most precise, permanent hair removal system ever engineered.
Engineer the next generation of permanent hair removal by integrating adaptive electrolysis modalities (galvanic, thermolysis, blend) with multi-sensor closed-loop feedback — bio-impedance spectroscopy, fluorescence follicle-phase detection, spectrophotometric skin typing and MEMS thermal sensing — all orchestrated by on-device neural-network inference for real-time, per-follicle parameter optimization.
Establish VELVALIZE as the global reference standard in personalized, evidence-based permanent hair removal — advancing aesthetic dermatology and trichological science through reproducible, data-driven clinical outcomes with full regulatory traceability and predictive treatment analytics.
Closed-loop adaptive RF modulation calibrated per follicle via real-time impedance, thermal and fluorescence sensing — targeting 20–30% reduction in treatment time with higher first-pass efficacy
Full DQRM-grade clinical traceability with automated session logging, parameter versioning, spectrophotometric skin-type records and audit-ready compliance documentation
Integrated micro-cryotherapy with GSR-driven pain modulation achieving 30–50% reduction in patient-reported VAS discomfort scores through TRPM8 cold-receptor pathway activation
A fully integrated ecosystem engineered from the ground up for evidence-based, sensor-rich, precision permanent hair removal
Multi-modality electrolysis console (galvanic DC / thermolysis HF / blend) with embedded bio-impedance spectroscopy, MEMS thermal array, fluorescence follicle-phase detection and spectrophotometric Fitzpatrick auto-typing — for real-time per-follicle waveform optimization.
Single-use sterile filament probes with integrated MEMS thermistors, micro-impedance electrodes and passive UHF RFID for batch-level traceability. Engineered for simultaneous sub-dermal impedance measurement and precise energy delivery at the follicular target zone.
Closed-loop micro-cryotherapy module with PID-controlled Peltier cooling (8–12°C contact) synchronized to electrolysis waveform timing, combined with galvanic skin response (GSR) monitoring for real-time patient comfort assessment and adaptive cooling intensity.
Non-invasive pre-treatment imaging system combining multi-frequency bio-impedance spectroscopy, near-infrared optical coherence (850 nm) and UV fluorescence (405 nm) for sub-millimeter follicular depth estimation, hair-cycle phase detection and automated treatment planning.
| Feature | VELVALIZE | Traditional Electrolysis | Laser (Diode/Nd:YAG) | IPL |
|---|---|---|---|---|
| All Skin Types (I–VI) | ✔ | ✔ | ✘ | ✘ |
| All Hair Colors | ✔ | ✔ | ✘ | ✘ |
| Permanent Hair Removal | ✔ | ✔ | Reduction only | Temporary |
| Real-Time Bio-Impedance Sensing | ✔ | ✘ | ✘ | ✘ |
| Adaptive Parameter Optimization | ✔ | ✘ | ✘ | ✘ |
| Follicle Phase Detection | Fluorescence-guided | ✘ | ✘ | ✘ |
| Integrated Pain Modulation | GSR + Cryo | ✘ | Contact cooling | Gel-based |
| Per-Follicle Precision | ✔ | Manual | ✘ | ✘ |
| Treatment Traceability (RFID) | ✔ | ✘ | ✘ | ✘ |
Proprietary technologies bridging biomedical engineering, photonics, machine learning and clinical dermatology
Multi-frequency impedance analysis (1 kHz–1 MHz) for real-time tissue characterization and closed-loop energy modulation
Swept-frequency excitation measures complex impedance |Z|, phase angle θ and Cole-Cole parameters (R₀, R∞, α, τ) to differentiate epidermis, dermis, sebaceous glands and follicular structures in real time
Closed-loop impedance tracking during energy delivery enables adaptive current modulation — automatically reducing power when tissue impedance indicates proximity to non-target structures
Pre-treatment impedance mapping correlates with stratum corneum hydration, sebaceous density and melanin concentration — feeding the spectrophotometric Fitzpatrick auto-typing algorithm
Dual-sensor topology with closed-loop PID control for dermal temperature regulation and patient safety
MicroProbe-embedded MEMS thermistor (±0.1°C NTC) monitors tip-zone temperature in real time, while CryoPulse surface thermopile tracks epidermal contact temperature
PID-controlled Peltier element maintains 8–12°C contact zone during energy delivery — targeting the thermodynamic boundary between effective follicular coagulation (>65°C) and patient comfort (<42°C at epidermis)
Thermal safety interlock: automatic power cutoff if tissue temperature exceeds programmable threshold (default 47°C) — hardware-level watchdog prevents thermal necrosis
UV-excited autofluorescence imaging for non-invasive hair-cycle phase identification before treatment
Narrowband 405 nm LED excitation induces tryptophan and porphyrin autofluorescence in the follicular matrix — emission spectra (420–600 nm) differ measurably between anagen, catagen and telogen phases
On-device spectral classifier (trained on 12K+ labeled follicle spectra) identifies anagen-phase follicles with >90% sensitivity
Pre-treatment fluorescence scan generates a color-coded follicle-phase map overlaid on the treatment zone — integrated with DermSense depth data for a complete 3D treatment planning view
Real-time galvanic skin response tracking for objective, continuous patient comfort assessment
Micro-electrode pair (Ag/AgCl, 8 mm diameter) integrated into the CryoPulse handpiece measures skin conductance (µS) at 100 Hz — electrodermal activity (EDA) as a validated psychophysiological proxy
Tonic SCL baseline established during first 30 seconds; phasic SCR peaks compared against baseline to compute a real-time comfort index
Adaptive feedback loop: when comfort index drops below threshold, system automatically increases CryoPulse cooling and/or reduces electrolysis energy amplitude
Automated Fitzpatrick classification via broadband reflectance spectroscopy for protocol personalization
Broadband white-LED reflectance probe (400–700 nm) measures diffuse spectral reflectance R(λ) — melanin index (MI) and erythema index (EI) computed from characteristic absorption bands at 575 nm and 660 nm
Machine-learning classifier maps (MI, EI, L*a*b* colorimetry) to Fitzpatrick skin types I–VI with 96% agreement vs. expert dermatologist classification
Skin-type data feeds directly into the NovaBlend parameter engine: darker skin types (IV–VI) receive lower peak current and longer pulse duration to minimize epidermal risk
Peer-reviewed research and clinical literature underpinning VELVALIZE core technologies
Standards and certifications targeted for VELVALIZE medical device ecosystem