Jointhubs
AI consultant and AI audit for companies

AI implementation that
belongs to you.

First we check where AI saves time and money. In about 90 days you have a working prototype, built for your company.

The first call is free. No commitment to implement.

Over 9 years building AI systems for large companies. NEO pilot: documents and reminders, with the decision left to a person.

From first call to prototype
  1. 01
    Free call20 minutes, no commitment
  2. 02
    Analysiswhere AI saves time and money
  3. 03
    DecisionYou decide whether we go further
  4. 04
    Prototypeworking, in about 90 days
  5. 05
    A solution built for you belongs to youThe details go in the contract
Team reality

Where AI pays off, and where it does not.

Examples of situations where you can start improving how work gets done.

Working with documents

TodayA question about one piece of information means searching email, drives and several systems, and the answer is still often incomplete.
After implementationAI finds the information at the source and shows which document it came from.

Retyping data between systems

TodayThe same data is entered into two or three systems by hand, with typos and omissions.
After implementationData moves on its own, and unusual cases go to a human for a decision.

Keeping track of cases and tasks

TodaySomeone has to remember what to follow up on and when, and things get lost between conversations.
After implementationThe assistant notes what to follow up on and when, turns that into tasks and works on them, and a person approves the result.

When AI does not pay off

  • the task is rare, so there is little to save,
  • the data is scattered or incomplete and has to be put in order first,
  • a plain rule or simple automation is enough, without AI.

When that is the case, we say so on the first call.

Does this sound familiar? Describe your process →

How we work

First we count. Then we build.

First we count

We recognise

We look at how the work runs today and where AI can save the most time and money.

We verify

On one real example we show the effect before anything is deployed.

This is where you decide whether we go further.

Then we build

We deploy

The prototype enters the team's daily work, together with documentation.

We measure

We compare before and after and agree how the solution will be maintained.

A working prototype takes about 90 days. Scope, schedule and budget are agreed after the analysis; after the first call you commit to nothing.

Mateusz Stachowicz
Who you talk to

Mateusz Stachowicz

Founder

For over 9 years I have been working with AI systems: I designed, built and maintained them for the world's largest corporations.

View on LinkedIn
Book 20 minutes (opens the booking window)

The first call is free. No commitment to implement.

Control

We set the rules before we start.

Four things we agree before work starts.

Data

We work only on the data you share with us, within the agreed scope and purpose. Access details are agreed before the start and described in the documentation.

A person decides

AI prepares, a person approves. You decide what goes out, and unusual cases go to a person for a decision.

Rights and access

What we build specifically for you belongs to you by default. Our existing products and third-party tools run under licence. The details go in the contract before work starts.

Where it runs

Where the solution runs is agreed before the start and described in the documentation.

Our experience

From an idea to working with users.

NEO · pilot implementation

Document search and reminder handling in one place.

In cooperation with Vinci & Vinci we prepared a pilot in which:

  • documents and related sources are found in one place,
  • reminders are prepared automatically,
  • every send-out passes a human decision.

We define the measure of success individually, and we are held to the outcomes, not to the tools we deliver.

NEUROHUBS · R&D PROJECT

From an individual idea to a specialist solution.

In cooperation with Fundacja Orchidea we built Neurohubs as an individual research and development project.

A specialist solution built around a dedicated domain model, designed for one field of expertise.

See Neurohubs (opens in a new tab)

// COLLABORATION

What others say

From people we have built artificial intelligence systems with.

“Mateusz showed a high level of expertise in designing AI systems, from hardware architecture through model selection to implementation. He could explain complex technical issues precisely and clearly to people without specialist IT knowledge.”

Dr Krzysztof R. Kupiński

Rector

WSKM in Konin

LinkedIn

“Together we built Neurava, which won NeuroHack Wrocław 2024. We shaped the product concept as a team, and Mateusz designed the AI and data-processing architecture that made the neurobiological signals usable.”

Maurits Unkel

Postdoctoral Researcher

Erasmus MC Rotterdam

LinkedIn

“Mateusz turned our requirements into a clear app at lightning speed, one that makes job evaluation much easier.”

Adriana Jagiełka

Deputy Head of HR and Payroll

Vinci & Vinci

LinkedIn

“Mateusz turned legal requirements from regulations and internal documentation into concrete modules of a working application that meets the strictest standards.”

Kamil Berych

Vice President

Altiorem Foundation

LinkedIn

“Communication with Mateusz was exemplary. I really value his way of thinking and his approach to solving problems.”

Aleksandra Pszczoła-Hennig

Founder

Bee Talents

LinkedIn

“Within a few weeks of our first conversations we went from a concept to a working demonstrator, which is extremely important in new technologies for the financial sector. Mateusz understood our context very quickly and proposed a technical solution well suited to the needs of the project.”

Przemysław Żegliński

CEO

UPEPO sp. z o.o.

LinkedIn

Frequently asked questions

How much does an implementation cost?

Scope, schedule and budget are agreed after we analyse your process. The first call is free and commits you to nothing.

What exactly does the project include?

We start with one process: analysis, a check on a real example, deployment, documentation and measurement. Further improvements are agreed separately.

What happens to my data?

We work only on the data you share with us, within the agreed scope and purpose. Access details are agreed before the start and described in the documentation.

Who owns the solution?

What we build specifically for you belongs to you by default. Our existing products and third-party tools run under licence. The details go in the contract before work starts.

Do I need my own technical team?

No. We build and deploy the solution, train the users and leave the documentation. The scope of maintenance and further development is agreed before deployment.

What if it turns out AI does not pay off?

We will tell you plainly, before anything is deployed. That is why we first check the effect on one real example, and after the first call you commit to nothing.

Contact

Let's talk about AI in your company.

Pick the convenient form: a short call or a description of the process we will come back to with a proposal.

Book a call

20 minutes is enough to understand your process and say whether AI makes sense.

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