Turning AI hypotheses into solutions: research, tools and implementation
Banks can now try new technologies legally and quickly: Uzbekistan is opening a sandbox and a fintech hub. But haste is costly: a significant share of agentic AI projects will not deliver results, so it is important to test the hypothesis on a prototype.
Business problem research, AI hypothesis testing and prototype development. Evaluation of results and a justified launch decision
How we work with AI agents ourselves: agent rules, a project knowledge base and a risk register in a dedicated repository, one standard for all teams
Comparing models by quality, speed, cost and security. Testing on real tasks, choosing cloud or on-premise infrastructure
Sharing experience and growing the tech community: AI workshops, product sessions, meetups and conferences together with MOST IT Hub and Rocket Events
High-level strategy (from regulators, shareholders or the board of directors) often remains abstract for teams. Built to land reflects our ability to “land” such challenges: we turn global directions into reliably working products that meet regulatory requirements and serve customers.
AI research and business process automation: client projects and Rocket Tech’s own practice.




Banks, financial companies and technology partners in Kazakhstan and Uzbekistan that we work with.