Evidence over theatre
Outputs should show where they came from, what was checked and where confidence ends.
About TechMils
AI built with depth, clarity and a reason to exist.
TechMils is an applied AI company specialising in agentic systems, machine learning and decision intelligence. We build focused solutions for complex work—then make them simple enough to use and clear enough to trust.
The company
Small, senior and close to the problem.
We work where domain knowledge, fragmented data and real operational judgement meet. That means starting with the work itself, not forcing every problem into the same AI pattern.
Our approach combines technical research, product thinking and hands-on engineering. The result can be an agentic workflow, a decision-support product or a machine-learning system—whatever best fits the outcome.
- Founded
- 2026
- Based in
- Limassol, Cyprus
- Core expertise
- Agentic AI & machine learning
- Flagship product
- Patriage
Our principles
Ambitious technology. Grounded delivery.
We care about what an AI system does after the demo: how it handles uncertainty, how people supervise it and whether its output improves the decision.
People stay accountable
Automation should extend expert judgement. Important decisions still have a clear human owner.
Value before novelty
We choose the smallest reliable system that can improve the work, then grow from evidence.
Proof in practice
Patriage is how our approach comes to life.
It brings agents, specialist data pipelines and human review together to solve a narrow, expensive problem in generic pharma: deciding which molecules can launch, where and when.
Patriage is our flagship product and a practical demonstration of the systems we believe in—domain-grounded, evidence-linked and built around a consequential decision.
Explore PatriageFounder
Technical depth, hands-on delivery.
Dr Charalambos Chrysostomou Founder & CEO
Charalambos is a machine-learning and bioinformatics researcher with more than a decade of experience turning noisy scientific and regulatory data into usable systems. He built Patriage end to end, from its global data pipelines and compound-first logic to the analyst-reviewed dossier delivered to clients.
- PhD in machine learning applied to biology
- Peer-reviewed computational biology research
- 10+ years building production AI and data systems
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