How a Kazakh startup can get compute without millions

ER10 describes a situation familiar to the market: a small team of Kazakh developers built a promising AI product, the first tests went well, and potential customers appeared. But to take the product into real work with clients, they need computing power, and a young team rarely has millions to put into it. The piece looks at how to get that capacity without large investment.

Compute is one of the biggest cost lines in any AI project, and it often decides whether a good prototype ever reaches the market. The easier it is for local teams to access capacity, the more Kazakh solutions will appear that are tuned to local languages, accounting systems and processes. For companies that buy such products, that means more choice and less dependence on foreign vendors.

Before you buy servers or assemble a team for AI, ask yourself whether you need your own infrastructure or simply a result: answers from your data and processes that run themselves. Not everyone has to build their own: the 1Cifer platform gives each role its own agent that answers from 1C, CRM and bank data and keeps tasks moving. Compare both routes by time and cost to the first working scenario.