Algomine

The multi-agent engagement is the one that shows the shape of the practice. For a Swedish industrial group of more than 15,000 people operating in over a hundred countries, Algomine ran two parallel workstreams for more than two years: maintaining two production AI applications, a document analyzer and a configuration assistant for bespoke heat exchangers, while building the greenfield multi-agent platform meant to replace a hard-coded chatbot the client had bought elsewhere.

The reasons the client gives are worth reading, because they are the reasons enterprises actually change supplier. Siloed applications with no shared governance, rigid predefined workflows that made every new use case expensive, and AI spend concentrating inside a single vendor ecosystem.

Twenty case studies are published across generative research assistants, retail planogram generation, computer vision for pharmacy shelves and defect management in precision manufacturing. Eleven name their client, and the client list runs to PKO Bank Polski, mBank, Rossmann, Eurocash and Warta.

Algomine publishes no rate itself; the €45–85/h shown here comes from a third-party directory listing. The weaker fit is a buyer who needs a published outcome figure, because the studies explain architecture and engagement shape rather than reporting numbers.