Custom software · The right AI for each task

Intelligence
in motion.

Nova Neba builds custom software around the way your organisation actually works. Not around the limits of a standard platform.

One workflow connects your data, your software, your rules and the AI best suited to each task. The system does the work and checks it. Your people stay in control.

Map one process with us See systems already at work →

Your process · Your rules · One application

01Where work gets stuck

The business grew. The process stayed manual.

Every handover costs time, margin and attention.

The same information lives in e-mail, spreadsheets and systems, in different versions.

Work sits still until someone sees it, forwards it or chases it.

Exceptions keep returning to the owner or the same experienced colleague.

Checks, certificates and approvals depend on separate lists and human memory.

items per month × handovers per item × minutes per handover ÷ 60 = hidden coordination hours

Use your own numbers. You will see how much capacity disappears into copying, checking and chasing.

02How we build

One application for your team. Behind it, the right AI for each task.

Not one model trying to do everything. A controlled chain in which each component does what it is demonstrably good at.

Bulk intake

Images, documents, e-mails and data enter in one place.

Understand

AI recognises, extracts, classifies and connects the right information.

Create or enrich

A specialised model creates imagery, content, documents, data or proposals.

Check

An independent check tests identity, completeness, quality and business rules.

Update and continue

The application records the outcome, updates systems and starts the next step.

One model produces. Another checks independently. Fixed rules guard the boundaries. People decide.

03What we can build for you

From one smart task to a process that works every day.

A stand-alone AI tool does one task well. We build the application that repeats that task reliably, at scale, every day.

  • Production at scaleProcess imagery, content, documents or product data in large volumes and to fixed specifications. A separate check validates every result. Only exceptions reach your team.Thousands of different items. One fixed standard.
  • Custom workflow applicationsBring intake, tasks, files, statuses, approvals and exceptions into one guided application, connected to the software you already use.No more working between systems. One place where the process happens.
  • Control and decision preparationLet AI read, compare, enrich and check information. The system flags missing data and monitors conditions. Where needed, API connections verify certificates, registrations and current status.Routine is carried out. Responsibility stays with people.

04Systems in use

Three systems in practice.

Three different workflows. Three custom applications. In each case, the improved process determines the design.

In use

Product content ready before the product arrives.

  1. Suppliers upload large batches of phone photos before shipment.
  2. The application recognises each product and camera angle and creates an image series in the defined brand style.
  3. A separate check validates identity, completeness and brand rules. Approved files are exported automatically in the required client format.

ResultProduct data, merchandising and sales preparation start before the stock arrives.

The product is still in transit. Sales preparation has already started.

Batch processing
On location Nova Neba checks & creates Live in the webshop
Demonstration view · example data

05System in use

In use

One workflow instead of disconnected tools.

  1. Information enters once through a guided intake.
  2. The application maintains one current version, checks required information and starts the next step.
  3. An AI check flags deviations and routes every exception, with the right context, to the responsible person.

ResultLess copying, searching and chasing. Everyone works from the same process and the same current information.

The process no longer depends on someone remembering what happens next.

Guided workflow
  • Intake complete · one entry
  • Step 4 of 6 · one current version
  • Required information present · checked
  • 1 exception · assigned with context
  • Next step started automatically
Demonstration view · example data

06System in use

In use

From client question to production-ready concept.

  1. The application researches the end client, the brand, the commercial objective and the available products.
  2. Specialised AI components develop and test directions from four perspectives: brand, creative, production and commerce.
  3. The strongest directions are visualised and connected to producible products, suitable suppliers and quotation information.

ResultApproved concepts move directly into supplier selection and quotation requests.

Not more ideas. Better concepts with a route to production.

Connected systems
Supplier database

feeds

Concept development

and then enables

Supplier selection & quotation requests
Demonstration view · example data

Much of our work is confidential. In a private walkthrough, we show the architecture, built-in controls and real-world results behind selected systems.

Request a private walkthrough

07Control & verification

Routine work moves automatically. Critical decisions stay with people.

We build procedures, checklists and release criteria directly into the workflow. Sensitive steps are checked before the process continues.

Bulk intake
Understand and enrich
Check
Meets the release criteria Check recorded · record updated · next step started
Low confidence · missing information · high impact A person decides The system continues along the defined route

Reliable automation does not mean there is never doubt. It means doubt never moves forward unnoticed.

08Check. Cross-check. Then release.

You do not need to start with an AI strategy. Start with one process that gets stuck every week.

You do not need to buy a complete platform before you know it works. We first build the smallest part that demonstrably creates value.

Map the real work

We follow the process as it actually runs: inputs, recurring decisions, handovers, checks and exceptions.

You receive · a process map with bottlenecks and first opportunities

Build the smallest working part

We build with real data and the people who run the process every day.

You receive · a working pilot

Test the normal route and what can go wrong

We test volume, missing information, unusual inputs, failed connections and human handovers.

You receive · a test and exception plan

Connect, go live and improve

We connect to your software, monitor quality and exceptions and improve from real usage.

You receive · a production system with clear management and ownership agreements

What works well, we keep. What is missing, we build.

09About

Founded by a pilot. It shows.

Nova Neba is a Dutch AI and software studio building custom applications around business-critical workflows.

We work with organisations whose most important processes are too specific for a generic platform, and too valuable to remain dependent on spreadsheets, e-mail and manual checks.

The studio was founded by a pilot. That background shapes how we build: first understand the route, assign clear roles, build in checklists, cross-check critical steps and only release when the system is ready.

Based in the Netherlands. Working across borders.

10Questions

The questions that matter before AI becomes part of your process.

What does a first pilot cost?

That depends on the process, the connections required and the level of control involved. After an initial process conversation, you receive a clear scope, timeline and price. We deliberately start small: enough to prove value in practice, without committing you to a large programme from day one.

How quickly will we see something working?

We build the first working version around the smallest part that creates real value. Timing depends on data and integrations, but you see working software early: not months of planning without a product.

Can this connect to our current software?

Yes. That is usually the starting point. Through APIs and other connections, the application can retrieve and write back data, process files and trigger next steps in the systems you already use.

Why not use a standard platform?

A standard platform can be a strong foundation. The bottleneck is often the final, company-specific part: your exceptions, checks and handovers. When these sit outside the platform, people become the connection between systems. We build that layer into the workflow.

Why not just use a stand-alone AI tool?

A stand-alone AI tool is useful for an occasional task. A business process also requires defined sources, user permissions, integrations, business rules, quality control, logging and a clear route for exceptions. We build that controlled system around the AI.

Is this fully custom?

The workflow, interface, integrations, rules, checks and exception routes are designed around your organisation. Where it makes sense, we use proven technical building blocks. You get custom software where your process is unique, without rebuilding basic technology unnecessarily.

Are we dependent on one AI model or vendor?

No. We choose the technology best suited to each task and keep the workflow logic separate from the vendor wherever possible. Components can therefore be improved or replaced later. Every change is retested against your quality criteria.

What happens to our data?

Your data remains yours. Before we build, we define which data is processed, where that happens, which suppliers are involved, who has access and how long data is retained. Sensitive data receives appropriate security and access controls.

Who owns the application and the results?

Ownership, usage rights, source code, data and results are agreed before the build starts. No surprises afterwards.

Who maintains the system after go-live?

Every project ends with agreements on monitoring, updates, incidents, quality control and ownership. We can manage the system or transfer it together with your team.

AI makes mistakes. How do you handle that?

That is why AI is never given unlimited decision-making authority by default. Results are tested against fixed rules, checked by a second model where needed and routed to a person when confidence is low or impact is high. Every exception remains visible and traceable.

Does this replace our people?

The goal is not to replace expertise, but to automate repetitive work, searching and checks. People keep customer relationships, exceptions, judgement and decisions with real consequences.

11Start with one process

Which process stops when one experienced colleague is away?

Bring that process. In thirty minutes, we map where information enters, what keeps being repeated, which checks are sensitive and where human judgement must remain.

Book a process conversation

30 minutes · no technical preparation required

After the conversation, you receive an initial process map with bottlenecks, human decision points and a possible scope for the pilot.

Prefer e-mail? info@novaneba.com