Selected work in pharmaceuticals, energy and financeGeorgios Vamvouras · 20+ peer-reviewed publications · 5+ clients
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WinMedica
Pharmaceutical
Every word on the pack checked against the approved text.
Leaflets, cartons and blisters, aligned word by word, every difference marked where it is. In daily use by three departments.
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Pharmaceutical
Every pack in 77 countries, three years ahead: how it will move, and why.
Built on a licensed global sales panel: sales and volume for every product in every country, history and forecast on the same row. Patent expiries, generic entries, launches, withdrawals and national price rules move the rows they touch. Unlike most market forecasts, every row names the reason behind its number.
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Pharmaceutical policy
A digest built around the reader’s interests, every item checked against its source.
In use by large pharmaceutical companies and national policy-makers.
WinMedica
Energy
Sized and costed end to end, using methods from our published work.
Weather, price and load forecasting, energy yield, battery dispatch, feasibility and lifecycle analysis. Efficiency, reliability and revenue, each quantified.
Lab.RACSE, NTUA
Energy
82% of the theoretical maximum.
The maximum is what a battery would earn if it knew tomorrow’s prices and had the perfect plan. Our learned controller comes that close with real forecasts, and outperforms all the popular industry methodologies.
Lab.RACSE, NTUA
Energy
Scored on a full year the models never saw.
Deep-learning forecasters for hourly prices and 48-hour temperature, irradiance and humidity, published. The same forecasts powered the analysis of WinMedica’s Tripoli plant (chapter 4).
Unnamed private investor
Finance
Most of the stock market’s growth, with about half the fall in a crash.
A portfolio that runs itself, while the investor stays in control. In historical tests it has earned about 9.6% a year since 2012, similar to a well-engineered stock-heavy portfolio, and in the 2008 crisis it lost only about half as much.
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In-house product
An assistant that gets to know you.
Tell it what you need, by voice or in writing. It keeps your tasks and reminders, reads what you share with it, learns how you work and answers from what it knows about you. Access it from your phone or the web.
MoreLocal detectors trained on the client’s own documents find every word on pharmaceutical artwork, more precisely than the strongest commercial alternative.
WinMedicaReads Greek and English pack text more accurately than the commercial cloud OCR services. Built for regulatory documents.
WinMedicaStructured fields from scanned invoices of varied layouts. Validated and commercialised.
VisionITOpen-weight models deployed and benchmarked on your own GPUs or HPC allocation, so data stays on-premise. Depending on the task, they reach 80–100% of the capability of the best closed frontier models.
Regression models that predict cycle performance, including fluids not seen in training.
Lab.RACSE, NTUAPlugins for building energy software such as IDA ICE that run automated design optimisation on the model.
Lab.RACSE, NTUAWe start from the workflow, the data and the decision, with the people who will use the system, and agree what will be measured.
We build on your own data, with published methods or our own research, and test against the cases that matter to you before anything is used.
The system runs on your infrastructure or ours, with documentation, training and continuing support.
Founder and principal engineer. PhD candidate in Energy and AI; MSc Data Science and Machine Learning (2027); Dipl.-Ing. Mechanical Engineering. National Technical University of Athens.
MoreTell us the workflow, data or decision you want to create or improve.