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For companies with processes of their own

Custom software and AI built around your operation.

We build the system your company needs and put artificial intelligence to work inside it. Everything connects to the CRM, the ERP and the documents you already use, with scope, timeline and price fixed before we start.

✓ Free diagnosis and detailed proposal, no commitment

  • Custom management software
  • Custom AI agents
  • Company digital brain
48h
Reply to your request, on business days
Fixed
Scope, timeline and price before we start
GDPR
On your own infrastructure or in EU cloud
NDA
Confidentiality from the first contact
Common symptoms

The signs that usually bring a company to us

If you recognise a few of these, too much work is still being done by hand and there is margin to free up. The longer it goes on, the higher the accumulated cost.

The software you use does not follow your rules

Your operation has exceptions no off-the-shelf product accepts, so the team keeps spreadsheets running alongside it. The official system says one thing, the spreadsheet says another, and nobody knows which is right.

See custom ERP →

The systems do not talk to each other

Sales cannot see what operations already recorded, and invoicing repeats what the CRM already knew. Every missing integration ends up being a person acting as a bridge, copying data from one side to the other.

See custom CRM →

You tried AI and it stayed an experiment

The team uses generic assistants that do not know your data, your rules or your systems. They help write emails, but they never reach the process that makes money.

See AI agents →

The work grows and the team does not

Hiring is hard and expensive, so the answer ends up being asking more of the same people. The limit on growth stops being the market and becomes the number of hours your team has.

How to automate →
How it works

What separates a system the team uses every day from a pilot that dies after a month

Four engineering decisions. They are the same whether what is missing is the system itself or artificial intelligence working on top of it.

  1. 01

    We connect to what already exists

    We read from and write to the CRM, the ERP, the databases and the files your company already uses. No forced migrations and nobody has to switch tools.

  2. 02

    Your rules go into the system

    The exceptions your operation has in practice, the ones no off-the-shelf product accepts, get written into the system. That is what makes the team drop the spreadsheet instead of keeping it alongside.

  3. 03

    We define what runs alone and what needs approval

    Looking things up, preparing and cross-checking data, on its own. Sending a proposal or changing a record, only with human approval if you decide so. Everything is logged, with the source visible.

  4. 04

    It goes live after being tested on real cases

    We test with situations from your business before anyone depends on it. If it fails, it fails in testing and not in front of a customer.

Fit

We don't work with everyone

We run a maximum of 3 projects at a time, so each one gets real attention. See if it makes sense to talk.

It's a fit if...

  • You have processes with rules of their own that no generic tool respects
  • You need an ERP, CRM or internal platform built around your process, not around an off-the-shelf product
  • You want artificial intelligence working on the real data and processes of the business
  • You can give controlled access to the systems where the work happens
  • You want to understand the technical decisions, not just receive the result
  • You have decision-making power or direct access to the decision maker

Probably not, if...

  • Your budget is below €5,000 for the project
  • You only need a corporate website or landing page
  • You decide on lowest price
  • You are not yet clear on the problem to solve
  • You cannot give access to any system or to real data
Before you read on

Does this fit what you have on your hands?

If you recognised your operation in those four decisions, the next conversation is a short one: we tell you what would make sense to build first, and what it would cost.

What we build

Two routes, the same starting point

Sometimes the system that runs the operation is missing. Sometimes it exists and what is missing is artificial intelligence working inside it. Often it is both, which is why we always start by understanding the process.

Custom CRM

Custom CRM for B2B sales with long cycles

A CRM built around your funnel rules rather than an off-the-shelf product. It fits what you already use, follows deals that take months, and does not force the team to fill in fields nobody reads.

View solution AI agents

Custom AI agents, connected to the systems your company already runs

An AI agent is not a chatbot that answers questions. It is a system with access to your data and your tools, which carries out tasks end to end and knows when it has to ask a person for approval.

View solution Custom ERP

Custom ERP for manufacturing and production

Production planning, quality control and batch traceability designed around how your shop floor actually works, not around the model a generic product assumes.

View solution
See all solutions
Reference scenarios

The kind of problem we solve and the impact it usually delivers

Scenarios composed from projects of this type. The ranges shown are references for the same problem, not results from a specific client. In the diagnosis we work out the numbers for your operation.

Construction

Document management on site: where the recoverable hours are

See the scenario
Healthcare

Clinic scheduling: where no-shows actually drop

See the scenario
Logistics

Dispatch: where the errors that get eliminated come from

See the scenario
View all Cases
Why Neumotik

The difference shows three months after delivery.

Designing a good-looking screen or building an AI pilot that impresses in a meeting is easy. The hard part is connecting it to real data, defining what it can and cannot do, and keeping it useful after the novelty wears off.

Results first, tools second

Every project solves a concrete problem with KPIs set upfront. The tech choice comes last, not first.

The people who design are the ones who build

No handover between the people who sell and the people who implement. The team that understood your process in the diagnosis is the same one that builds, tests and delivers the system. Context is not lost along the way.

The system is yours, with no lock-in

Code, infrastructure and documentation are handed over to your company. We keep evolving the system if you want us to, never because you have no alternative.

It answers with a source, not from memory

The agents we build cite the origin of every answer and log what they did. That is what separates a system the team trusts from an experiment nobody uses after a month.

GDPR compliantUsage loggingSource code handed overAgile methodology

Cloud infrastructure and AI models we work with

Google CloudAmazon AWSMicrosoft AzureMongoDB AtlasVercelCloudflareStripeOpenAIAnthropic ClaudeGoogle GeminiGrok AI

Technology stack

Vue.js
Nuxt.js
Node.js
TypeScript
MongoDB
PostgreSQL
Docker
Tailwind CSS
Redis
GraphQL
Nginx
Linux
GitHub
Figma
Elasticsearch
How We Work

From diagnosis to results, no surprises

Four phases, with scope, timeline and price fixed at the end of the second. From there on there is no budget revision halfway through.

01

Diagnosis session

Thirty minutes to understand the operation, the systems in use and where the repetitive work sits. You leave with a read on what is worth automating first. Free and with no commitment to proceed.

30 minutes
02

Analysis and proposal

We map the chosen process, design the architecture and list the required integrations. We present fixed scope, timeline and investment. No small print, no hidden costs.

1 to 2 weeks
03

Implementation

2-week sprints with regular demos. You follow everything in real time and validate each delivery before we move forward.

8-16 weeks
04

Delivery & Evolution

Deployment, team training, and complete documentation. Technical support included for the first 3 months. Ongoing maintenance and evolution available.

Ongoing
Investment

What it costs, by project type

We publish the numbers so you can decide before talking to us. These are real ranges from projects we run, not a price list.

  • Custom management softwarefrom €15,000ERP, CRM, internal portal or platform that becomes the centre of the operation.
  • First AI agent€7,500 to €15,000One specific process automated end to end, connected to the systems where it already happens.
  • Company AI platform€25,000 to €45,000Internal knowledge in one place, with agents per department and controlled access.

What moves the number

  • How many processes are in scope
  • How many systems need integrating, and whether they have APIs
  • The volume and state of the data coming from legacy systems
  • How many user roles and what access rules
  • Whether there are audit or compliance requirements
  • Whether the project is phased or delivered in one go

Projects under €5,000 are not our ground. We would rather say it now than after two meetings.

Still weighing it up

Need to justify the investment to someone?

The cost guide has price tables by project type, a break-even calculator and the checklist of questions to ask any supplier. Eighteen pages, no meeting to book.

See the cost guide
Frequently Asked Questions

Answers to the most common questions

The questions people always ask us in the first meeting, answered before you book it. Prices and timelines included.

It depends on scope, but we give reference bands upfront to save both sides time. A first agent in production, connected to a real system, typically lands between €7,500 and €15,000. An internal AI platform with several department agents and ERP or CRM integration lands between €25,000 and €45,000. Custom CRM or ERP projects start around €15,000. The exact figure is fixed in the proposal, after the diagnosis, and does not change midway.
Most projects take between 8 and 16 weeks of implementation. More focused projects can be delivered in 6 weeks; complex platforms may take 6 months or more. We set realistic timelines during the proposal phase and we deliver.
The risk is controlled by the process, not by a promise. Before any code is written we validate prototypes and wireframes with you. During implementation there are demos every 2 weeks, with adjustments within the agreed scope. At the end of the first phase there is a formal decision point where you choose whether to continue. By final delivery, you have approved the product several times.
No. The code and the infrastructure are yours. We hand over technical documentation, access and team training, and the system runs in accounts your company controls. If you want to move maintenance to another team or bring it in-house, you can do it without renegotiating anything with us.
The systems we build run on infrastructure in the European Union and your company data is not used to train public models. We define upfront what information each agent can read and what actions it can take, with per-user usage logging. We sign an NDA by default, before any technical conversation.

See all frequently asked questions →

Next Step

Tell us the problem. We will tell you what is worth building.

Thirty minutes to understand your operation. You leave with a read on what is worth building from scratch, what can be solved with artificial intelligence on top of what you have, and at what investment.

If your project has no technical or financial viability to deliver a return, we will be the first to say so.

  • 100% free diagnosis
  • No commitment to proceed
  • Reply within 48 business hours
  • NDA included by default

Request free diagnosis

Two minutes to tell us the essentials. We reply within 48 business hours with a first read on your case and, if it makes sense, a proposed session.

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