Describe it. Watch it become a working system.
Neonyx turns a plain-language description into a real enterprise application — tables, forms, multi-step workflow, role-based access, audit — while you're still in the room. The model is the specification and the running system at once, so they never drift apart.
The six-month feedback loop, collapsed into one meeting.
Enterprise projects fail in the gap between what the client says and what gets built. The misunderstanding doesn't surface in the meeting — it surfaces in UAT, where fixing it costs twenty times more. Neonyx closes the gap by making the loop short enough that the misunderstanding surfaces in the room.
Describe
A business analyst types what the client needs in plain language — no diagramming tool, no spec template.
plain EnglishSee it
The entity and workflow diagrams render live as the BA types. The client watches the model take shape.
live diagramsApply
One click builds real tables, forms, roles and audit — a working system, not a clickable mockup.
real systemFix it live
The client uses it, finds the part you misunderstood, says so — and you change it in thirty seconds.
in the roomThis compresses enterprise delivery the way version control compressed collaboration — not by making each step faster, but by collapsing the round-trip.
Nobody has built the combination at scale. Neonyx has — because the engine underneath was built for enterprise from day one, and the AI layer makes it usable by people who aren't software engineers. This is not a lighter alternative to enterprise software. It is enterprise software, finally built like it's this decade — and the depth is real:
These are real screens from one platform.
Eight production-grade applications — maintenance, procurement, contracts, real estate, EU funding, capital programmes, a connected medical-device fleet — each built on the same engine, each in its own design language. Open any one to read its full brief.
The model is the spec. The model is the system. One artifact.
Every other approach separates the specification from the software — and the moment they're separated, they drift. Neonyx doesn't separate them. There is nothing to drift.
A specification
Stakeholders read the model as the requirements: entities, rules, workflow, roles, in business language.
A working system
The same model is the live application — real tables, forms and workflow people log in and use.
Living diagrams
And the same model draws its own ER and workflow diagrams, always in sync because they're the same thing.
Change the model and the specification, the system, and the diagrams all change together — automatically, in sync. This is the part that breaks every other method, and the reason a discovery meeting can end with the client using the thing they just described.
Upstream of the tools you already know.
Neonyx isn't competing with the platforms below — it sits a step before them, solving the problem they each assume is already solved.
Generated code vs. no code to audit
They generate code — and 45% of AI-generated code ships with a top-10 vulnerability, unimproved across model generations. Neonyx generates a model, not code: a governed runtime executes it, so there is no generated code to audit.
Build without a developer vs. know what to build
Low-code still needs a finished spec — someone has to know what to drag onto the canvas. Neonyx generates the spec and the system together, in the meeting. It's the step before low-code, not a rival to it.
Describe a system vs. run one
An LLM can describe a system, or write code that compiles. Neonyx produces a working enterprise system — real tables, forms, role-based workflow, audit. The AI is the front door; the framework is the building.
The AI is the front door. The engine — built for regulated work by an engineer with twenty years of it — is the building. The combination is what makes the model real.
Different seat at the table, different transformation.
The trust surface is live — not a roadmap promise.
Two decades of enterprise systems that couldn't afford to fail.
Neonyx is built by András Nagy — his second-generation enterprise platform, designed from twenty years of delivering systems that risk officers sign off.
For over twenty years he has designed, built and delivered high-stakes systems where there is no room for error: banking back-office, lending and risk workflows, fraud and complaint handling, an electronic document system for a nuclear power plant, and national public-administration platforms — as lead developer and technical lead.
He has also sat on the other side of the table, quality-assuring the enterprise systems that major vendors delivered into some of the country's largest banks and institutions. Neonyx is that experience distilled — with one proof point that's hard to argue with: he replaced a production SAP module for a central bank's cash-logistics operation, signed off by the bank's risk officers.
We compress the loop from "describe the problem" to "use the working system" — from months to minutes, and what gets built is the real thing.
Bring a system you need. Watch it built in the meeting.
A live-modeling workshop: describe a real system from your world, and use it — running, governed, on your data model — before the meeting ends. Fixed fee, credited against a pilot. If it isn't real by the end, it's free.