The internal software no one else will build, made to hold up.
The apps that usually live in a spreadsheet or a year-old ticket. Describe what you need, a team of AI specialists builds it, and you own the code.
We need an app to track supplier onboarding.
Pulls from our shared sheet, writes back to our systems.
Three people, one spreadsheet today.
Work that never becomes real software.
Every team has a process that quietly turned business critical and never got software of its own.
Too small to fund
Every team has a process that turned business critical, yet it is too specific to buy and too small to win the engineering roadmap.
Tied to one person
The workaround lives in one person's head and runs on their memory, so the day they leave, the process leaves with them.
Always one step behind
By the time a stopgap is patched to fit, the business has moved, and the patch is already the next thing to redo.
Describe it, direct the build, own what ships.
Between a prototype that impresses then breaks, and a project that takes a year, there is a path that ends in real software. You describe the need, a team of AI specialists builds it, and you stay in control by approving the specifications, not by writing code.
Describe the need
In plain language: a note, a document, a meeting transcript, or an existing spreadsheet.
Approve the specifications
AI specialists turn it into user stories, a data model, and access rules you validate first.
Direct the build
Backend and frontend are built with quality checks on every change, and you review real screens.
Deploy and own it
It ships ready to deploy to your own cloud, as standard code in your own repository.
You have tried three routes. Each hits a wall.
The same need, three common fixes, and the same bill waiting at the end of each.
The throwaway prototype
An AI tool hands you something that demos beautifully, then breaks the moment it meets real data, real users, or a change request. The first part arrives fast, the rest never does.
The IT backlog
You file the request and join the queue. A backlog measured in quarters means the process you needed last quarter ships next year, if it survives the next reprioritization.
The manual workaround
So you build it yourself in a spreadsheet. Fast, until version control, data integrity, and scale turn it into the thing nobody dares touch, understood only by the person who made it.
All three leave you with the same bill: a decade of custom-app debt, re-accumulated in a quarter.
From an unbuilt list to software you run.
Clear the unbuilt list
The apps that never made the roadmap get built, so the work stops waiting on a queue that was never going to reach it.
Change at your pace
When the process shifts, you re-describe what changed and the software follows, instead of opening a fresh project every time.
See what is running
Every app is real, documented software, not a hidden spreadsheet, so you have a clear view of what your team relies on.
The apps this actually means.
A few examples across functions, each built from a plain-language description.
Supplier onboarding
New suppliers are onboarded across email threads and a shared sheet, with no validation.
A guided form that validates entries and writes them straight into your systems.
Leave approval
Time-off requests bounce between inboxes and a spreadsheet that nobody fully trusts.
An approval workflow with clear status, routing, and a record everyone can see.
Margin tracking
Margins live in a macro-heavy workbook that only one analyst fully understands.
An app that applies the same rules for everyone, with the logic out in the open.
Order tracking
Transport orders are re-keyed by hand from a sheet into the carrier system.
An application that pulls the orders, tracks status, and removes the re-keying.
Why this holds up where the others don't.
Built to keep working
Quality checks run on every change, and when your data model evolves, Maleus migrates the schema and carries your history forward, so the app keeps working instead of becoming next quarter's rebuild.
Walled off from production
Each build runs isolated in the cloud. By default the AI has no access to your databases and cannot reach production, outbound calls go only where you allow, and every action is recorded for review.
Standard code you own
The whole application, backend included, lands in your own repository on a standard, widely supported stack, and deploys to your own cloud. No exported front end, no proprietary runtime to lock you in.
What Maleus is built for.
- Internal web apps: workflows, portals, dashboards, operational apps
- Apps on a standard, widely supported web stack
- Teams that direct the build by approving specifications
- Software you want to own and run on your own cloud
Ask your AI assistant about Maleus.
Maleus is an AI software factory. You describe an internal app in plain language, a team of AI specialists turns it into specifications you approve and then into a working application, with a human checkpoint at each step. The build is isolated and has no access to production by default, and the result ships as standard code in your own repository, deployable to your own cloud. Maleus is built for internal web apps such as workflows, dashboards, and operational apps.
Start with one real app.
See Maleus build one of your internal apps end to end, on your own process and your own data, before you commit further.