LLMs & Generative AI
Custom and domain-specific language models, retrieval-augmented systems and generative tooling — including 4B-parameter models we trained ourselves.
Applied AI consultancy
The new standard in applied AI.
Research-grade rigor. Production-grade delivery. We turn frontier AI into systems your business can actually ship — in any industry.
Scroll to begin
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01
Discover
One conversation maps the terrain. We learn your data, systems and goals — and pinpoint where AI genuinely moves the needle versus where it's just noise.
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02
Prototype
A fast, honest proof of concept on your real data. You see signal in weeks, not quarters — and we de-risk the idea before anyone commits a budget.
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03
Build
We engineer the production system — models, pipelines, interfaces and guardrails — to your standards, wired into the tools your team already uses.
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04
Deploy & scale
We ship, monitor and hand over: documentation, training and trustworthy-AI evaluation, so the system keeps earning its keep long after we're gone.
01 Why us
Designed for the way you
actually work — beyond off-the-shelf AI.
Three Trajanovs, one practice: a professor who has shaped AI research and policy for two decades, and the engineers who turn that research into products that run in production. Strategy and shipping under one roof.
We've published the papers, trained the language models and built the pipelines. Now we help your organisation do the same — pragmatically, measurably, and on your terms.
02 What we do
Capabilities
AI Agents & Automation
Agent-based systems that reason, plan and act — for trading, fraud detection, operations and back-office automation, grounded in our published research.
Data Science & ML
Predictive models, ETL pipelines, classification and forecasting. We profile your data, find the signal, and put models where they create value.
NLP & Semantic Tech
Information extraction, sentiment and topic modelling, entity linking and knowledge graphs — including low-resource and non-English languages.
Trustworthy & Responsible AI
Risk assessment, evaluation metrics, governance and bias auditing — so your AI is reliable, explainable and safe to deploy in regulated settings.
Strategy & Enablement
AI roadmaps, feasibility studies, architecture reviews and team training. We help you decide what to build, what to buy and what to skip.
Research-grade standards
across every engagement.
Modelled on academic rigour and production discipline: reproducible results, documented decisions, measurable outcomes, and a hard line on what we'll claim AI can do.
Explore industries03 Where we work
Any industry. Really.
- H·01Healthcare & Pharmadiagnostics · drug discovery · clinical NLP
- F·02Finance & FinTechrisk · fraud · robo-advisory · agents
- E·03Energyforecasting · optimisation · monitoring
- P·04Public Administrationdigital services · document AI
- A·05Agricultureremote sensing · yield models
- L·06Language & Culturelow-resource LLMs · translation
- R·07Retail & E-commercerecommendation · demand · search
- C·08Climate & Sustainabilitymodelling · ESG analytics
04 Who we are
The people behind it
Dimitar Trajanov, Ph.D.
Full professor at FCSE Skopje and visiting research professor at Boston University. Founding dean, MASA associate member, and leader of Vezilka — North Macedonia's national AI Factory. 200+ papers, 70+ projects, 7 books.
Risto Trajanov
Builds machine-learning systems that ship — from report automation that saves teams dozens of hours to ETL pipelines and PyTorch models in production. Six peer-reviewed papers across applied ML and ESG.
Darko Trajanov
The builder who takes models out of the notebook and into the browser — designing the interfaces, APIs and infrastructure that turn prototypes into polished, production-ready products people can actually use.
0Research papers
0Projects delivered
0Years at the frontier
0Continents
05 Questions
How we work, answered
Do we need our own data to start?
Helpful, but not required. We can begin with a discovery sprint, work with sample or public data for a prototype, and design the data collection you'll need as part of the engagement.
How fast can we see something real?
Usually a working proof of concept on your real problem within a few weeks. We deliberately front-load the riskiest assumptions so you can decide to continue — or stop — with evidence, not a pitch.
Will you tell us if AI is the wrong tool?
Always. A good chunk of our value is telling you where a simpler solution wins, or where the data isn't ready yet. We'd rather keep your trust than sell you a model you don't need.
Do you hand over, or hold the keys?
We hand over. You get the code, the documentation, the evaluation suite and the training your team needs to own and extend the system confidently.
Which industries do you take on?
Any where data meets decisions. Our research spans health, finance, energy, language and the public sector — and the method transfers far beyond them.