Consult with us
You don’t need to come with a finished AI project.
A problem, an idea, or a question is enough.
We help companies and development teams identify where artificial intelligence can deliver real value, design an appropriate technological approach, and validate it in practice.
You can reach out to us at various stages of your project—from initial considerations regarding the use of AI to specific technical challenges encountered during model training or the scaling of an existing solution. For select projects, we can go a step further and work alongside your team to develop a Proof-of-Concept or a pilot solution.
A consultation can serve as the first step in identifying a suitable AI use case, or it can take the form of a detailed technical discussion regarding an existing model, data, architecture, or computational workflow.
We will tailor the scope of support to the current stage of your project.
We have a problem or an idea
If you do not yet have a specific AI project, we will help you explore the possibilities. Together, we will examine your problem, existing processes, and expected outcomes to identify areas where the use of AI makes sense.
We will assess the basic prerequisites for implementation – data availability, technological possibilities, necessary expertise, computational requirements and possible risks.
Result: a defined AI use case, prioritization of ideas, or a recommendation for the next steps
We have a specific use case.
If you already know what you want to address, we can focus on designing a technical solution.
We will assist with the selection of suitable models and technologies, architectural design, data handling methods, and the determination of computational infrastructure requirements.
Depending on the project, this could involve, for example, machine learning and deep learning, generative AI and large language models (LLMs), RAG, AI agents, computer vision, natural language processing, or multimodal models.
Result: architecture design, technology selection, experiment plan, estimation of computational resources, or Proof-of-Concept design.
We are already developing and need technical assistance.
Consultations can extend to the level of a specific model or an AI/HPC workflow.
Together, we can analyze your existing solution and address areas such as model training and fine-tuning, inference and model serving, GPU acceleration, benchmarking, containerization, distributed training, multi-GPU workloads, or the optimization of computational resource utilization.
If the project requires greater computing power, we will also help identify suitable national or European AI/HPC infrastructure.
Result: optimized workflow, benchmark, infrastructure recommendation, or a proposal for scaling the solution.
We are looking for interesting AI projects
Do you have a specific problem or an AI solution whose potential you need to verify in practice?
Within the framework of SK:AI:AT, we are looking for companies and development teams with whom we can collaborate on the experimental development of AI solutions.
We bring to the collaboration experts in AI and high-performance computing, research expertise, and a suitable computing environment. You bring a real-world problem, knowledge of your industry, and—depending on the nature of the project—the data required to solve it.
The goal is to combine academic and technical expertise with the real-world needs of companies, and to quickly verify whether the proposed AI solution works and has the potential for further deployment.
What can we collaborate on?
- Proof-of-concept and prototyping of AI solutions,
- training and fine-tuning of models,
- development of solutions based on LLMs, RAG, or AI agents,
- machine learning, computer vision, and multimodal solutions,
- testing of various models and technological approaches,
- benchmarking and optimization of AI workloads,
- experiments on GPU/HPC infrastructure,
- scaling of existing solutions,
- preparation and validation of pilot implementations.
What do we expect from the project?
You do not need to have a finished technical design. What is more important is the specific problem and a vision of the outcome the project should deliver.
A suitable project should have a clearly identified use case, a partner prepared to actively collaborate on its solution, and a realistic possibility of verifying the outcome through an experiment or a pilot implementation.
For projects involving the use of proprietary data, we will also jointly assess its availability, quality, and terms of use.
What does SK:AI:AT bring?
Expertise. AI, machine learning, HPC, and—depending on project needs—other specialists.
Compute. Access to a suitable experimental environment and assistance in obtaining computing resources on national or European infrastructure.
Joint development. Our experts can work alongside your team on the design, experimentation, and technical validation of the solution.
European ecosystem. If a project requires additional capacity or specialized expertise, we can explore suitable options—including through AI:AT and the European AI Factories network.