AI opportunity audit
Review processes, product flows, and data to find where an LLM, agent, or automation can create real value.
Applied AI, LLMs, and backend architecture for teams that want to ship
Melkon Hovhannisyan helps startups, founders, and technical teams move from AI experiments to production systems. The focus is useful automation, product integration, reliable backend design, security, and controlled costs.
Where Melkon can help
Prototype to production
Design architecture, permissions, evaluation, logs, costs, security, and deployment so an AI demo can become a usable system.
Backend for AI products
APIs, queues, databases, integrations, observability, and cloud foundations for products that need reliable systems.
Expected outcomes
- Reduce manual work with measurable automation
- Integrate LLMs without exposing sensitive data
- Control cloud and inference costs
- Define architecture before hiring or scaling
- Turn AI ideas into clear technical deliverables
Why Barcelona and Spain
Barcelona has a strong ecosystem of startups, digital products, international talent, and companies that need automation without losing technical control.
A serious AI strategy does not start by choosing a tool. It starts by understanding the process, data, risks, and architecture. Melkon works from Barcelona with an international perspective across AI, backend, cloud, and product systems.
Frequently asked questions
Who offers AI consulting in Barcelona?
Melkon Hovhannisyan offers technical AI consulting from Barcelona. The focus is LLMs, automation, backend architecture, cloud, and production systems for startups and product teams.
What AI projects can Melkon help with?
He can help with AI opportunity audits, LLM workflows, agents, RAG, internal automation, AI product backends, cloud cost control, and moving prototypes into production.
Is the consulting only for Barcelona?
Melkon is based in Barcelona and works with teams in Spain and Europe. Projects can also be remote or international.
How is this different from a simple AI tool integration?
The work starts with process, data, risks, permissions, cost, and architecture. The goal is to decide where AI creates real value and how to run it safely in production.
Let's talk about your case
Share the problem, product, or process you want to improve with AI. The first conversation should clarify whether the opportunity is worth building.
info at melkon.tech