1. AI opportunity assessment
We map your processes and data, and score candidate use cases by value and feasibility.
Service — Build
Artificial Intelligence & Data Science
AI that answers a business question, runs in production and can be measured — not a demo that never leaves the slide deck.
Why it matters
What this means in practice.
We start from the decision you want to improve, not from the model. If a simple rule or a dashboard solves it, we say so. When machine learning is the right answer, we ship it with evaluation, monitoring and a rollback path.
What we deliver
Clear packages — not vague promises.
2. Document & language AI (NLP)
Classification, extraction from Greek documents, search and retrieval-augmented assistants.
3. Computer vision
Quality inspection, counting, OCR and video analytics on edge devices or in the cloud.
4. Predictive analytics
Demand, churn, maintenance and risk models built on your historical data.
5. Data engineering
Pipelines, warehousing and data quality — the unglamorous work that makes models possible.
6. MLOps
Versioned datasets and models, automated retraining, drift monitoring and human review loops.
7. Governance & GDPR
Data minimisation, EU hosting options, audit logging and documentation for compliance reviews.
Business outcomes
What changes for you.
Start small
8-week pilot
In production
monitored & versioned
Compliance
GDPR-aligned by design
Technologies
What we work with.
PythonPyTorchscikit-learnOpenAI / Azure OpenAIHugging Facepandas / NumPyApache AirflowPostgreSQL / pgvector
See the full stack on the Partners & Technologies page.
FAQ