Control matter
with sound.

An acoustic levitation platform with an AI-based controller. It positions and shapes fields of particles, cells, and droplets using phased transducer arrays. Contactless. No moving parts.

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MageHand is a general-purpose acoustic levitation platform: phased transducer arrays driven by an AI controller. The same hardware adapts to a new application by retraining the AI, not redesigning the system.

Acoustic manipulation has existed in research labs for decades. What has kept it from becoming a platform technology is control: every new task, material, or geometry requires months of expert hand-tuning. There is no general-purpose controller.

The AI controller changes that. A single trained system adapts to new particle types, geometries, and tasks.

Applications

Life sciences & lab automation

Label-free manipulation of living cells, microparticles, and liquid droplets for lab-on-chip, diagnostics, and drug delivery.

Acoustic manufacturing

Position dust and powder fields in free space. Additive manufacturing without nozzles, substrates, or binders.

Aerosol engineering

Programmable density shaping of aerosol clouds for inhaled drug delivery, filtration, and atmospheric sensing.

Filterless filtration

Acoustic fields concentrate and remove particles from a gas stream with no replaceable filter element. At 40 kHz, effective for particles above ~50 µm: industrial dust, pollen, coarse aerosols. Higher frequencies extend this to finer particulates.

Space & microgravity

In orbit, surface tension governs how liquids behave and loose particles drift freely. Acoustic fields provide programmable, contactless control: no mechanical contact, no contamination.

Why MageHand

Field-level control

We don't move one particle at a time. We shape entire clouds of cells, droplets, dust, and aerosols simultaneously.

AI-native

The AI adapts to new materials and geometries. Every conventional approach needs re-engineering from scratch.

Simulation-first

Trained on GPU clusters across millions of physics timesteps. Proven before heavy investment in hardware.

The AI controller works in simulation. Hardware is next.

Raising pre-seed in Q3 2026