Applied AI laboratory / Ostrava

AI tested
in practice.

We help small and medium companies find out whether AI can handle their specific task.

Our own technical facility in Ostrava.

Evidence for your decision

From a question to a decision

The output is evidence for a decision: what the model handles, what a deployment needs and where people stay in charge.

See the example protocol

01 / Ways to work together

How we can help.

We start from the problem you are solving. Scope, availability and the delivered output are agreed individually.

01

Validating an AI idea

Can AI handle a task our people do today?

We help define the problem, the expected benefit and the success criteria. Then we pick the assumptions worth testing before further investment.

Service details
What we need from you
A description of the current process, example briefs and your idea of the required result.
Possible output, as agreed
A test plan, an overview of limitations and a recommendation of what to test first.
02

Comparing models and hardware

Which solution has the quality and handles our workload?

We compare selected models and configurations on your specific task. We look at correctness, latency, memory and behaviour under load.

Service details
What we need from you
A representative sample of tasks, a measure of correctness and the expected load.
Possible output, as agreed
A comparison of results, a description of failures and a recommendation for your use case.
03

Deployment design and prototype

Should it run on-premise, in the cloud, or both?

We assess the technical options, data requirements and the fit with your systems. A prototype or integration work can follow by agreement.

Service details
What we need from you
An overview of the systems in use and the requirements for data, performance and operations.
Possible output, as agreed
A proposed solution and operating assumptions; the scope of any prototype is agreed separately.

02 / The engagement

From a brief to a decision.

Before testing we agree how to recognise a useful result. Finding where a solution falls short matters just as much.

  1. 01

    You describe the problem

    What you solve today, how you do it and which decision needs evidence. You do not need a model picked in advance.

  2. 02

    We agree the scope

    Together we define the goal, the inputs needed, the evaluation method and the delivered output. We confirm price, timing and data handling.

  3. 03

    We test the options

    We compare the agreed options and record both successful and failed cases. The Lab team runs the test, or you use its infrastructure by agreement.

  4. 04

    We go through the recommendation

    We explain the findings, the limits and the options. The outcome can be a recommendation to deploy, to test further, or to stop.

What the output looks like

03 / Example output

What a test tells you.

A test answers one specific question. The output covers the measurement conditions, the limits we found and a recommended next step.

Illustrative example

The outline below explains the approach on three briefs. These are not results of real projects or measured data.

Question to answer

Can AI sort incoming service requests?

Dozens of e-mails. The same fault described in different ways. Let us split one large brief into questions that can be verified.

E-mail → fault type → the right technician

What we measure
Classification accuracy on a sample of real reports, including typos and incomplete descriptions.
Where the limits are
Unclear requests have to be handed to a person. A fluent answer is not yet a correct decision.
Next step
Prepare an anonymised sample of reports and compare the model output with the service team's assessment.

A real report adds, within the agreed scope, the models and configurations used, the evaluation method and the results including failed cases.

Optional view of the testing steps

04 / Facility and people

The Lab is built on hands-on work.

We bring together developers, AI specialists and people from companies. Technical knowledge is verified on real briefs and our own infrastructure in Ostrava.

Our own infrastructure in Ostrava

A server room, a server cluster and an NVIDIA DGX Spark unit support model comparisons, load testing and checks of local deployment.

  • Comparison of quality, latency and memory requirements.
  • Verification of technical assumptions before a purchase.
  • Remote testing or use of the equipment by arrangement.

The exact configuration, capacity and access conditions are confirmed for each brief.

The facility and people in detail

Community and taking part

Members bring topics, knowledge of their fields and experience from practice. Together we develop tools, share findings and look for questions worth testing.

First members join by invitation or after an individual review. Participation and access to the facility depend on agreement and capacity.

The facility and people in detail
Portrait of Lukáš Orčík

Founding member

Lukáš Orčík

AI agents · DevOps · MLOps

Combines experience in development, cloud infrastructure and systems operations with artificial intelligence. Works on AI agents and putting them into practice.

Profile of the founding member

Meetups / Events

Where to meet us.

Events we take part in. A chance to talk in person about AI, technology and experience from practice.

Gong · Ostrava

Lukáš Orčík / Speaker

Černá AI Festival 2026

Founding member of the Lab Lukáš Orčík gives the talk “Czech applications talk to AI: MCP connectors in practice” (in Czech). It covers connecting Czech applications to AI agents and practical use of MCP.

Černá stage · 15:45–15:57 · workshop “From transport to microgreens” 12:30–13:00

Details on the organizer's website

05 / Practical questions

Before we start.

Basic orientation for a first conversation. The details always depend on the specific brief.

Do we need to have a technology chosen?

No. We can start from a specific problem and a description of the current process. The choice of model and test method follows from the required quality, the available data and the constraints.

What should we prepare for the first call?

Briefly describe the task, who performs it today and what should improve. An example input with a correct result helps. Share sensitive data only after we agree how it is processed.

How are price and timing set?

By the scope of the brief, the tests needed and available capacity. Before we start we agree the output, the price and the deadline. A short consultation and prototype development differ in scope.

Can you test a solution for local operation?

Yes, local deployment is one of the tested options. We assess which model and hardware fit the task and what administration and operation will require.

Is remote access or equipment loan possible?

For selected equipment, by individual agreement. The purpose, available capacity, duration and access conditions have to be confirmed in advance.

Does a prototype mean a finished production solution?

A prototype verifies an agreed assumption or function. Integration, security, monitoring and follow-up support are defined separately.

06 / Contact

Contact the operator

For information about working together, the community or partnerships, contact the operator. A short description of your problem is enough.

kontakt@orcik.tech

Availability and scope are confirmed individually.

Operator of Ostravský Lab

Orcik Tech s.r.o.

Company ID: 08763941
VAT ID: CZ08763941

Jakoubka ze Stříbra 781/44
Nové Sady, 779 00 Olomouc

Registered office · the Lab's technical facility is in Ostrava

Operator's website

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