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OVHcloud and MakoLab Partner on AI for Banking and Energy in Poland
OVHcloud and Warsaw-based MakoLab have announced a partnership to deploy artificial intelligence in banking, energy, transport and healthcare, betting on European infrastructure and full data control.
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OVHcloud and Polish systems integrator MakoLab have signed a cooperation agreement to deploy artificial intelligence at organizations operating in industries subject to heightened regulatory oversight. The partnership was announced on July 27, 2026, and covers banking, energy, transport and healthcare.
What the deal actually covers
The collaboration splits responsibilities between the two companies in a way typical of enterprise-grade deployment projects. OVHcloud, the French cloud provider with European data centers, will supply the infrastructure: dedicated computing environments optimized for machine learning and secure processing of the large volumes of sensitive data generated by financial and energy institutions.
MakoLab, a Warsaw-based integrator with years of experience in digital projects, will handle the application layer. In practice that means building conversational systems, intelligent document automation, advanced semantic search, and RAG (Retrieval-Augmented Generation) architectures that connect language models to clients' internal knowledge bases, including talk-to-your-data tools and knowledge graphs.
Why regulated sectors specifically
Banks, energy companies, transport firms and healthcare providers in the European Union face strict requirements on data storage and processing, further reinforced by the EU AI Act, whose successive provisions are rolling out through 2026 and 2027. For these industries, it is essential that data never leaves EU jurisdiction and that the infrastructure provider can demonstrate compliance with local regulations.
That is precisely the argument behind choosing OVHcloud as the infrastructure partner. The company has spent months emphasizing its European sovereign cloud strategy, positioning itself against US hyperscalers, and has built products in that spirit such as AI Endpoints, where user data stays exclusively within the EU.
European entities should not have to choose between innovation and full control over their own resources - Marek Wodzisławski, MakoLab
The path from idea to production must account not only for business return, but above all for data security - Grzegorz Soczewka, OVHcloud
What it means for Polish companies
For Polish financial and energy institutions, the partnership offers a ready-made, integrated package in which one provider handles infrastructure and legal compliance while the other implements specific business tools, such as customer service chatbots or automated document processing. The model is meant to remove some of the risk clients would otherwise take on by combining components from separate cloud and AI vendors themselves.
Regulatory pressure in Poland is building on several fronts at once. The president signed a law this year implementing the EU AI Act, and a new national artificial intelligence commission is set to launch in the fall alongside regulatory sandboxes for companies testing new solutions. Against that backdrop, offerings that guarantee compliance from the very start of deployment are becoming more attractive to companies in regulated sectors that had previously approached AI cautiously.
Scale and outlook
MakoLab is a mid-sized player by the standards of Poland's integrator market, with recently reported consolidated revenue of PLN 77.9 million, up 4 percent year over year, and operating profit of PLN 6.4 million. Moving into AI for regulated sectors gives the company a chance to expand into higher-margin deployment services, while OVHcloud gains a local partner familiar with the specifics of Polish corporate and institutional clients.
Neither company has yet named specific pilot clients or a timeline for initial deployments. The first tangible results of the partnership, in the form of concrete projects at banks or energy companies, are likely to emerge over the coming quarters as firms in these industries adapt their systems to AI Act requirements.


