AI development company in Romania
Production AI inside real products — agents, retrieval, copilots and image pipelines — built by the same team that owns your backend, web app and mobile client.
AI development is the work of designing, building and operating artificial intelligence features inside software that real customers use: LLM agents, retrieval systems, copilots and automated image pipelines wired into your product data, permissions and infrastructure. M Tech Solutions is a software studio founded in 2023 in Craiova, Romania, and this is a core delivery track for us, not an add-on. We work with founders, CTOs and product teams in the EU and North America, in English and Romanian. One accountable team runs discovery for about a week, shapes the solution, then builds in two-week sprints with a live demo every Friday and stays on call through the first month after launch. Shipped AI work includes Scena, an AI product-photography workflow for e-commerce, and AutenticGift, AI photo personalisation for custom gifts.
What we build
- LLM agents with tool calling, structured outputs and streaming responses.
- Retrieval-augmented generation over your documents, product catalogue or support history.
- Copilots embedded in SaaS dashboards, e-commerce flows and internal operations tools.
- AI image pipelines: background removal, portrait editing, batch product photography.
- The unglamorous half — evals, guardrails, retries, fallbacks, cost and latency monitoring.
How we work
Discover takes about a week. We map the problem, the users and the constraints, and we run a technical spike on the risky part — usually retrieval quality or model behaviour on your real data.
Shape turns that into decisions: what gets built, what gets cut, which models and which infrastructure. Build runs in two-week sprints with a live demo every Friday, so you see working software instead of status reports.
Launch means hardening, observability and a runbook. We stay on call through the first month.
The stack we use
Services in TypeScript, Node, Python and Go. Models from OpenAI and Anthropic, orchestrated directly or with LangChain. Postgres with pgvector, Pinecone or Weaviate for vector search, Redis for caching, Kafka where events need to be durable.
Product interfaces in React and Next.js on the web, Swift, Kotlin and React Native on mobile. We deploy them on AWS, GCP or Vercel using the same deployment patterns we use for our non-AI services.
When we are a fit
- You have a product in production and an AI feature that has to work inside it, not beside it.
- You need one team for the model layer and the application layer, not a handoff between two vendors.
- You care about latency, cost per request and failure modes, not only about the happy path.
- You want to start small — a discovery or a vertical slice — before committing to a roadmap.
How engagements work
Discovery and MVP scopes have a fixed price, so you know the cost before we start. Ongoing product work runs time and materials because requirements change once real users arrive.
Most projects kick off within 7–10 days. Write to us and you will get a reply within one business day, including an honest assessment of whether we are the right studio for the job.
Frequently asked questions
What does an AI development company actually deliver?
In our case: a feature running in your production product. That means the model integration, the retrieval or data layer behind it, the interface your users touch, and the monitoring that tells you what it costs and where it fails.
Can you add AI to a product that already exists?
Often yes. We usually start with a focused spike — retrieval quality, prompt design, evals — and a production-ready vertical slice wired into your current stack, rather than a sandbox demo.
Which models and vector databases do you use?
OpenAI and Anthropic models, with LangChain where orchestration earns its keep. For vectors, we use Postgres with pgvector, Pinecone or Weaviate. We choose for latency, cost and reliability rather than novelty.
How fast can you start?
Most projects kick off within 7–10 days. We reply to every enquiry within one business day.
Do you work fixed-price or time and materials?
Both. Fixed price for discovery and MVP scopes, time and materials for ongoing product work where requirements evolve.
Tell us what you are building
We reply within one business day, and most projects kick off within 7–10 days.