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The Technology

Modality: 3D Ultrasound Tomography (Automated Ring Scan).

Hardware: An elevator platform gently lowers the user (2 in/s or 5 cm/s) into a shallow water bath through a static, submerged ring array.

Sensor Array: Consists of 500,000 micro-elements (transducers) acting simultaneously as ultrasonic emitters and receivers.

Data Throughput: Generates terabytes of data per second, capturing raw ultrasonic reflections and wave deformations at millions of samples per second.

Compute Pipeline: Streams compressed raw data to a massive, distributed computer cluster.

Reconstruction Algorithm: Computes inverse wave-scattering equations. It maps spatial alterations in wave density and stiffness (attenuation through water, skin, fat, muscle, and bone) to synthesize a sub-millimeter 3D volume map.

AI Integration: Post-processing models run continuous automated segmentation to identify internal structures/organs directly over the raw geometric reconstruction.

Performance Target: Full 3D body volume acquisition within 60 seconds, achieving MRI-like resolution at roughly 100x the capture speed.

Deployment & Roadmap

The Medium ("The Spa"): Integrated into a casual wellness environment (hot tubs, plunges) to mask clinical friction. Launching first in San Francisco (2027).

Regulatory Strategy: Initial rollout skips full diagnostic FDA pathways by providing non-diagnostic body composition maps first, followed by incremental diagnostic FDA submissions as clinical trials progress.

Hardware Iterations:

Gen 1 / Gen 2 (2026–2027): Algorithmic refinement, clinical research trials, and "research spa" build-out.

Gen 3 (2028): Custom application-specific integrated circuits (ASICs/custom silicon) for a massive drop in compute times and increased resolution.

2031 Scale Goal: 50,000 scanners globally, targeting 1 billion scans per month.