Semantic Control Platform · Medical Imaging
Confidential — 2026

The image
that learns you.

Software that learns each clinician's own words for how they like to read a scan — sharper, brighter, show the bone — and adapts the display to that person over time.

In one sentence: it's the intelligence that goes inside medical-imaging software, so the display learns its one reader and becomes truly theirs.

One brain · any modality · learns each reader
— and adapts the display to that person over time

Presented by Bobby Brooks  ·  Research prototype — not a diagnostic device

A glowing CT/MRI scan — the platform's intelligence learning how the reader likes to read it
What changed — and what's missing

Voice is entering radiology.
It still doesn't learn the reader.

Dictation is standard. Voice-driven image navigation is arriving, and there's now a 2025 proof-of-concept for language-model voice control inside the MRI scanner room. Real progress — but it's the same display, behaving the same way, for every reader who uses it.

Today's imaging tools

They follow a preset

Hanging protocols and window presets arrange and contrast the image by static, pre-set rules an admin configured. The settings mean the same thing for everyone. Your "sharper" and my "sharper" get the exact same window. The tool never gets to know you.

Our software

It learns the reader

The same word means something different to every reader. Our software learns what you mean by "sharper," remembers it, and tunes the display to you. The more you read, the more it becomes yours. That is the missing piece.

Where we fit

Reading is personal —
medicine already knows it.

Radiology has long accepted that how a study is laid out and windowed is personal. Hanging protocols, in the words of the imaging-informatics field, vary by "modality, body part, department, personal preference, and even training" — one radiologist wants the chest view on the left, another on the right. But today that preference is set up by hand, as static rules.

Today's PACS arranges and windows images by static, pre-configured rules. None of them learn the reader's own words for how they like to read. Ours does.
Where we start

A scan that windows itself
to how you read.

The first, demonstrable product: a voice-driven CT/MRI viewer that windows and switches presets from plain language and learns each reader. It runs today on real, open imaging datasets — the clearest, simplest place to prove the concept in medicine.

Contrast & brightness
Window by voice
"Sharper." "Brighter." The display windows to what you mean — more contrast, brighter level — no sliders, no menus.
Standard views
Radiology presets
Bone, soft-tissue, lung, brain, abdomen — say "show me the bone" and it switches to that window instantly.
Per reader
It learns you
Your "sharper" is yours. The display remembers how each reader likes to read and gets more personal over time.
How far it reaches

Not just one viewer —
any image a clinician reads.

The same software learns a clinician's preference for almost any imaging or image-guided system they read or operate. The CT/MRI viewer is where we start; this is the wider imaging world it fits.

Radiology / PACS
Every modality — CT, MRI, X-ray, PET, mammography — read on workstations whose layout and windowing are already personal.
Where we start
Ultrasound
Notoriously operator-dependent — gain, depth, presets differ by user. A natural fit for "learns how you like it."
Imaging reach
Surgical robotics
Surgeon profiles already exist; personalizing how the view and system behave for each surgeon is an accepted idea.
Imaging reach
Touchless / sterile control
Reading rooms and procedure suites where hands-free, voice-driven image control matters most.
Imaging reach
3D & advanced visualization
Multiplanar and volume rendering tuned to how each reader likes to look — not a one-size default.
Imaging reach
Any viewer, any vendor
It's software. It rides inside the imaging tools clinicians already use — one platform, many systems.
Imaging reach
How it works

You talk. It learns. It remembers.

01
You speak naturally
"Sharper." "Brighter." "Show the bone." Plain words — no sliders, no menus, no setup.
02
It understands what you mean
It turns your words into the right window change — a smart starting point the first time, sharper every time you react.
03
It learns you, reader by reader
Every clinician gets their own settings. One reader's "sharper" never speaks for another. It gets more personal the more it's used.
04
It can follow you
What it knows about you lives in the software, not the workstation — so it can move with you to your next reading seat.
It's real today — not a slide. The same software runs a live CT/MRI viewer you can talk to: say "sharper" or "show the bone," and the display adapts to you in real time — on real open scans.
Governance

A workflow tool —
not a diagnostic device.

This personalizes how an image is displayed and learns a reader's preferences. It does not detect, measure, diagnose, or interpret findings, and its output is never represented as diagnostic. Every change is written to an audit log. It is built research-first, with the cleanest regulatory posture in mind.

The market

Value is moving to the software layer.

Imaging volumes keep rising, AI is pouring into the reading room, and the fastest growth is in the imaging software and AI layer — exactly where our personalization lives.

$1.4B→$19.8B
AI in medical imaging
2024 → 2033
$4.8B→$7.7B
Imaging informatics
2026 → 2033
$5.0B→$7.3B
PACS & RIS
2026 → 2033
Any modality
Our software fits
any viewer

Sources: Grand View Research (AI in medical imaging); Persistence Market Research (imaging informatics); Coherent Market Insights (PACS & RIS).

Why it's different

Everyone races to read the image.
We make it read your way.

What we're looking for

Partners, people,
and a first pilot.

Partners
Imaging vendors
PACS and viewer vendors, modality makers, and surgical-robotics makers who want our learning layer inside their software.
People
Clinical advisors & team
Imaging-informatics advisors and engineers who want to build this into a category-defining company.
Capital
Early investors
Backers who see that personalization is the missing layer in the reading room.
The financials

How it makes money,
and how it grows.

Imaging vendors and health systems pay recurring for software per reading seat. Recurring costs require recurring revenue, so it's built as a per-seat license folded into the product.

Stream 1
Per-seat license
A monthly fee for every reading seat or workstation running our layer.
Stream 2
Integration & setup
A one-time fee to bring the platform onto each new PACS, viewer, or modality partner.
Stream 3
Enterprise / health-system
Volume agreements across a hospital network or large radiology group.
ScenarioReading seatsOur revenue / year
Early2,000$4.8M
Growing10,000$24M
Strong30,000$72M
At scale60,000$144M

Illustrative at $200 per reading seat per month — final pricing is set with each partner. Reading seats span every modality and geography; even 60,000 is a fraction of the global reading workforce, and every seat pays each month it runs.

Intellectual property

Protected.
Patent pending.

A provisional patent application has been filed on the core method, with broad cross-domain claims in progress. The method is held as a trade secret and is not disclosed here. Full details are shared only under a signed NDA.

The next breakthrough isn't a smarter scanner.
It's a scan that knows you.

For the first time, the image can learn each clinician's own language for how they read — and become truly theirs, across every modality. It works today, on real scans. We're building the company that brings it to the imaging world.

Bobby Brooks  ·  bbthemixmaster@gmail.com  ·  (818) 376-9966

Confidential · Research prototype, not a diagnostic device · Do not share without a signed NDA