No experiments
Only productive AI solutions.
From use-case analysis to go-live – we build AI solutions with LLMs, RAG and Agentic Workflows, seamlessly integrated into your IT systems.
The Deyan7 projects as a timeline
29 Projects in 2.5 Years · ⌀ Project duration under 3 months · Weekly iteration
Trusted by Industry Leaders
Human expertise that translates AI into productive systems
End-to-end responsibility – from problem definition to productive integration
At Deyan7, there are no separate strategists, developers, and prompt teams working past each other. One AI Fullstack Engineer takes responsibility from the initial problem definition to the productive system. Together with the Agent Operator on the client side, this produces not prototypes but directly productive solutions that we validate early with real data and improve in weekly shipping cycles. Feasibility and technical scope can usually be assessed in just 60 to 90 minutes.
End-to-End, Not Handoffs
One AI Fullstack Engineer takes responsibility for the entire project
- Direct line instead of coordination chains
- Frontend, backend, AI, infrastructure, and testing in one hand
- Less friction, faster decisions
- 3,000 applications, 5 hires — extremely selective staffing
Expertise Stays Human
The Agent Operator brings decisive domain expertise to the project
- Technical leadership on client side from the start
- Prompts and natural language inputs are refined together
- Outputs are reviewed by real domain expertise
- Deep professional knowledge is systematically integrated into AI workflows
Productive, Not Experimental
A validated tech stack with strong AI component makes our projects fast and scalable
- Technical feasibility usually assessable in 60–90 minutes
- Directly productive MVPs instead of lengthy pre-studies
- Validation with real data instead of lab conditions
- Weekly shipping cycles instead of cumbersome Scrum
End-to-End, Not Handoffs
One AI Fullstack Engineer takes responsibility for the entire project
- Direct line instead of coordination chains
- Frontend, backend, AI, infrastructure, and testing in one hand
- Less friction, faster decisions
- 3,000 applications, 5 hires — extremely selective staffing
Expertise Stays Human
The Agent Operator brings decisive domain expertise to the project
- Technical leadership on client side from the start
- Prompts and natural language inputs are refined together
- Outputs are reviewed by real domain expertise
- Deep professional knowledge is systematically integrated into AI workflows
Productive, Not Experimental
A validated tech stack with strong AI component makes our projects fast and scalable
- Technical feasibility usually assessable in 60–90 minutes
- Directly productive MVPs instead of lengthy pre-studies
- Validation with real data instead of lab conditions
- Weekly shipping cycles instead of cumbersome Scrum