The first socket that knows what it's doing to you.
AVA Fit© closes the loop between the limb and the socket. A pressure matrix and a 6-axis IMU sense the interface continuously, inference runs on the socket itself, and the result reaches you as a fit score you can see — rendered in 3D on your own scan, on your phone.
Why fit drifts
Every prosthetic socket today is an open loop.
A socket is shaped once, fitted once, and then asked to hold a body that changes hourly. Nothing in that system measures what it is doing, and nothing in it responds. The gap between when a problem starts and when it is finally felt is where pressure injuries take hold.
Change
fit varies by the hour
Limb volume shifts across a single day of wear. A socket dialed in at 8am can be working loose by noon, and nothing about that is visible from the outside.
Silent
how the damage arrives
Pressure injuries build gradually, under a liner, out of sight. They are often noticed only once the skin has broken down and the socket has to come off entirely.
Weeks
between real measurements
Fittings are episodic; wear is continuous. What happens inside the socket in between has gone unmeasured.
Sense · Reason · Act
Physical AI is intelligence that moves with you.
Software that only predicts is still a spectator. AVA Fit© is built as a control loop that runs on the body: sensors that read the interface under real gait, inference that runs on the socket without a network, and hardware that will act on what it learns.
Sense
Two 3×3 pressure pads, anterior and posterior, plus a 6-axis IMU, sampling the socket–limb interface continuously through walking, standing, and rest. Not a bench measurement. The actual load, as it happens.
Reason
Inference runs on the socket. Per-cell filtering separates genuine pressure change from sensor noise and slow compression drift; embedded models classify activity and load state without a cloud round trip. The socket does not need a signal to know what is happening.
Act
The loop closes onto hardware. A dual-drive with cable-loop tensioning adjusts socket volume in response to what the sensors read — relieving load before the wearer has to notice it.
Phase 1 puts the sensing and the inference on the limb. Phase 2 actuates.
The pipeline
From raw pressure to a clear answer, on the device.
Pressure matrix, one socket
Pressure and motion, read continuously while the socket is worn.
Computation on the socket
Filtered per cell, then combined into pressure-time integral, load concentration, and no-relief duration by anatomical region — computed on the socket, not uploaded and returned.
A live 3D render of your own socket scan
Colored by real pressure, with the specific factors behind every risk indicator shown openly.
Inside the app
Screens captured from the current build, at device size.
A real session on the current build: the fit score, the live 3D pressure viewer, and the risk breakdown exactly as they appear on your phone and your desktop.
A score to identify pressure points, with next steps — quantitative and qualitative feedback.
Access real-time pressure data and fit insights through AI analytical software.
What's actually in the app
What's in the build today.
Live 3D pressure map
Your own socket scan, rendered in 3D and colored live by the pressure matrix — drag to rotate, pinch to zoom.
Pressure-injury risk indicators
A transparent heuristic that always shows the specific factors behind a risk level.
Socket fit suggestions
Per-region guidance — RELIEVE, ADD SUPPORT, and MONITOR — are observations for your prosthetist, not adjustment instructions.
Filtered sensor data
A per-cell filter separates genuine pressure change from sensor noise and slow compression drift.
Bluetooth, with a fallback
Connects straight to your socket over BLE, with a bridge connection as a reliable second path.
Session & wear tracking
Every session logged automatically, with wear time and trends you and your care team can look back on.
Care-team session export
Wear time, per-region load, and event history in a form your prosthetist can review at the next fitting.
Edge-resident inference
Filtering and classification run on the socket. No connectivity required for the system to keep working.
The socket itself
One socket, seen from every side.
A real product render — the exterior shell turning open to the interior cavity, in one continuous shot.
Clinical basis
A risk score you can audit.
Four literature-grounded factors, combined per anatomical region — and always shown alongside the specific factors that produced the level, never just the level itself.
How much, for how long
Pressure-time integral
Pressure is accumulated over time rather than sampled at its peak, then weighed against the capillary-closing-pressure reference. Tissue tolerates a brief spike; it does not tolerate a moderate load that never lets up.
The intelligence lives in the loop, not in an unvalidated classifier. Risk screening stays a transparent heuristic because there is no clinician-labelled ground truth to train against honestly yet. The learning happens where it is earned — in on-device signal inference, and in the control policy that will drive socket adjustment.
Landis, E.M. (1930). “Micro-injection studies of capillary blood pressure in human skin.” Heart, 15, 209–228.
For the clinical team
What the socket saw between visits.
Between fittings, you are working from what the patient remembers. AVA Fit© gives you the record.
Session history
Session history the patient brings to the appointment.
Per-region load
Per-region load referenced to socket anatomy, not raw sensor indices.
Adjustment outcomes
Adjustment outcomes tracked across weeks, so a change can be evaluated instead of assumed.
Designed and developed by Quorum Prosthetics
AVA Fit© is the intelligent, adaptive evolution of Quorum's QUATRO socket platform — built on QUATRO's proven adjustability and mechanical design, with embedded sensing and adaptive control added to keep fit optimal through daily volume changes.
Questions
Common questions
Get AVA Fit©
Your socket is already
telling you something.
Start listening.
AVA Fit© is in active testing. The App Store link goes live at launch — check back, or share this page with your care team.