Any platform the problem needs
The people doing the work know exactly what slows their day down and cannot build the fix. Software companies know exactly how to build it and are not interested, because it will never be enormously profitable. So the tools that should exist don't — and the ones that do arrive late and cost too much. B.R.A.I.N. Solutions LLC works in that gap: healthcare first, on whatever platform the job runs on, with AI used to augment the people doing it.
We publish educational, training and reference software — built for study, professional development, and the work that happens around the clinic rather than inside the consultation.
Platforms
Whatever fits
Discipline
Domain fluency
Delivery
Weeks, not quarters
What we build
Each of these is somewhere the domain expertise and the engineering live in different buildings. None of them is a category we picked off a market map — each one started as something that annoyed somebody enough to fix. The discipline is the same in all four: learn the domain properly first, build second, then get out of the way. That applies whether the subject is a neurodiagnostic montage or a recipe that has to be safe for someone with a serious allergy.
Study and training software for students and working technologists: structured question banks, spaced practice, interactive anatomy and montage visualisation, and exam preparation built around how the material is actually assessed — by people who know the field, not by people who read about it once.
The unglamorous software the teams around the lab and the clinic never get built for them — consumable tracking and expiry intelligence, documentation, coding and reimbursement reference, internal workflow. These products hold no patient information and take no part in patient care.
Apps for the rest of life — food and cooking with real dietary safety built in, household and family organisation, personal productivity. Lighter subject matter, identical engineering standard.
AI pointed at the work, not at the diagnosis. It explains a concept a second way, drafts the documentation, generates fresh practice material, reads the unstructured page so a person doesn't have to. It augments the professional's judgement and never substitutes for it — always labelled, always optional, never presented as authority.
Platform & craft
We are problem solvers who write code, not a shop with a stack to sell. No loyalty to a platform, an operating system, a framework or a vendor — only to the problem in front of us. A phone in a gloved hand, a browser locked to a department workstation, a desktop tool that has to run offline, a command-line utility that saves somebody an hour a day: these are different problems, and the honest answer is rarely the same one twice.
So we work out where the job actually happens and build there. When that means learning something we have not shipped before, we learn it — rather than quietly reshaping the problem until the tools we already know happen to fit.
How we work
01
We pick the platform from the problem, never the other way round. No web view dressed up as an app, no app built because an app sounds more impressive than the script that would actually have fixed it, and no problem redefined to suit a stack we already knew.
02
Your content and your progress stay on your own device or your own infrastructure. Nothing leaves unless a feature genuinely needs it to — and when it does, we say so before it happens, not in a settings page you were never going to open.
03
Translation is part of the build, not a task deferred to launch week. Including the languages and dialects that are too small for a large vendor to bother with, which is usually where the need is sharpest.
04
Where a model contributes, the interface says so. It can be turned off, it never quietly replaces a cited source, and it is never the thing a clinical or safety decision rests on.
Why we exist
Vision
Anyone who understands a problem well enough to describe it should be able to get the software that solves it — while the problem is still worth solving.
Mission
We close the distance between a real need and working software. Sometimes that distance is knowledge, sometimes it is time — and very often it is simply price. A tool a large firm would quote against a hospital's budget is out of reach for a six-person practice, so the practice does without, or bends its work around software that was never meant for it.
So we learn the domain until we could do the job ourselves, build on whatever platform the work actually happens on, and ship in weeks what the industry quotes in quarters — including the small, unglamorous tools nobody else thinks are worth building, and the custom ones a small business was told it could never afford.
We stay small enough to change direction in a morning. We work to bring the end user's cost down rather than the industry's revenue up. And we spend our time on problems that make somebody's day measurably better, not on whichever category is currently fashionable.
The point
Democratising software development — and not as a slogan. Concretely: making the building of genuinely useful tools reachable for the fields and the people the industry has priced out, and spending that capacity on work that returns something to the society using it rather than on whatever extracts the most from it.
Nobody here discovered this work in a market study. The people who write our software have worked in the fields it serves — neurodiagnostics and the wider healthcare setting, software engineering, and product management. And what gets built is not decided in a roadmap meeting: it is decided by the person with the problem, describing it in their own words, to the person who will write the code. When you have personally lost an hour to a form that should have been three clicks, you do not need a discovery workshop to know what to build.
It is also why we see what the large vendors miss. Their roadmaps are built around markets big enough to justify a sales team, which leaves an enormous amount of real work unserved — too specialised, too small, too boring. That is precisely where the hours are being lost, and it is where we work.
No account manager translating your problem into a brief. No analyst turning the brief into tickets. No hand-off to a team that never met you, building something adjacent to what you asked for. The person who understood the problem writes the code.
Every layer removed is money and months removed with it. A tool a large firm would scope across two quarters and price against a department budget takes us weeks, because we are not paying for the meeting where it gets explained a fourth time. It is not clever and it is not a discount — it is arithmetic. It is also what puts custom software, fitted to how a small business actually works, within reach of one that was told it could only afford something off the shelf.
Moving quickly is not the same as skipping steps, and in a field adjacent to healthcare that distinction is the whole job. Requirements still get written down. Edge cases still get hunted. Accessibility and localisation still happen during the build rather than in the week before launch. Nothing ships that we would not use ourselves.
What we remove is the overhead around the work: the meeting held to prepare for the meeting, the brief that translates your words into somebody else's, the sign-off queue, the ceremony that exists to coordinate a team we do not have. The process is simplified. The work is not.
01
Most of the delay between a need and its software is organisational, not technical.
02
Nothing sits between the person with the problem and the person writing the code.
03
Software priced beyond the people who need it has failed, however good it is. The industry's answer to AI has been to raise what it charges; ours is to use it to lower what you pay.
04
We learn the job before we design for it. The first version lands close enough that the next one is a refinement shipped in days — not a rebuild of something that missed.
05
We pick problems by whether somebody's day gets better, not by whether the category is fashionable. A great deal of genuinely useful software is commercially unglamorous, and that is precisely where we want to be.
06
Most of the money in this technology is being pointed at extracting more value rather than delivering more of it. We use it to put expert knowledge in front of more people at a lower price — and we say plainly, in the interface, wherever it has been used.
Scope of our software
Working next to a clinical field means being exact about what we publish. This applies to every product under the B.R.A.I.N. Solutions name, on every surface — mobile, web, and anything AI contributes to.
The company
B.R.A.I.N. Solutions LLC is an independent limited liability company registered in the United States. There is no visionary founder story here and no industry to disrupt. We are ordinary people who happened to train properly in fields that rarely meet in one room — the clinical side, software engineering, and the product management that takes its direction from the person with the problem rather than from a roadmap — and who would rather fix the thing costing somebody an hour a day than talk about transformation.
We are deliberately small and engineering-led: the people who design the products also write the code, ship the builds and answer the support mail. Nothing is outsourced, and no product ships until we would put our own name on the box — because we do. We would rather hand you something small that works on Friday than present a roadmap for it on Monday.
Our roots are in the neurodiagnostic field, which is the whole reason this company exists. Sitting on the clinical side and watching good software fail because its authors had never done the job — and watching good clinical practice go unsupported because nobody would build for it — is a specific kind of frustration. It is also a business. In a discipline where the details decide everything, software that is almost right is not right; that standard travels with us into every category we work in.
Any
Platform, language or dialect
Weeks
Where others quote quarters
0
Third-party trackers
100%
First-party engineering
Partnerships & enquiries
If you can see a gap the two of us could close — a training programme, a tool your team keeps asking for, a problem nobody will build for because the market is too small — tell us about it. You will be talking to the people who write the code, and we answer in English or Spanish.
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