Every pack in 77 countries, three years ahead: how it will move, and why.
Forecast file, 2026–20283 of 1.26 million rows
ProductCountry2021–2028Why it moves
Molecule A 5 mg, 60 tabletsSpainPatent expires Jun 2026.Mar 2027. Generics enter and the originator’s price falls. Updated
Molecule B 1 mg penGermanyLaunched mid-2025, so the data holds only part of a year.
Molecule C 100 mg vialItalyWithdrawn by the company in March 2026, with the source recorded.
Fig. 2 · paused 77 countries, some 300,000 brands, 1.26 million rows. The rows shown are illustrative.
historyforecast
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.
October price list published, two products in the lower band
Committee bulletin, 16 Octverified against source
Hospital tender for oncology supplies closes 30 October
Tender notice, 14 Octverified against source
Fig. 3 One morning’s digest, set to pharma regulatory, pricing and tenders.
In use by large pharmaceutical companies and national policy-makers.
4
Chapter 4. Solar and battery sizing for a factory
WinMedica Energy
Sized and costed end to end, using methods from our published work.
Fig. 4 · paused Site, plant and grid.
Solar array: 1,500+ kWh per kWp a year.Battery: charged cheap.Plant: its own load, forecast.Grid: buy and sell.
Weather, price and load forecasting, energy yield, battery dispatch, feasibility and lifecycle analysis. Efficiency, reliability and revenue, each quantified. The forecasters and the battery controller are our own published work (7 and 8).
5
Chapter 5. Automated portfolio management
Unnamed private investor Finance
More growth than a cautious portfolio, with the same small falls.
Fig. 5 · paused €10,000 from January 2012 to September 2026, historical simulation.
the portfolio60% MSCI World index, 40% cashthe bank, 2% a yearcrisis periods
A portfolio that runs itself, while the investor stays in control. €10,000 in 2012 is €40,900 today. When the world’s stock markets fell 20%, it fell only 11%.
07:40Brief sent. One push held overnight, delivered.
Morning. Three things fit today: the Petrou quote (2h), the server deploy (half a day), the Andreou follow-up (20m). Maria at Petrou expects the quote by Friday.
Move the Petrou quote to Friday and remind me Thursday morning.
Done. Quote due Friday, reminder Thursday 08:00. Nothing else changed.
Send revised quotemoved2hFri
ChatTasksMore
Fig. 6 The app, on your own server.
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.
Deep-learning forecasters for hourly day-ahead prices and 48-hour temperature, irradiance and humidity, scored on a full year the models never saw. Published.
Lab.RACSE, NTUA
8
Battery trading controller
A learned controller that earns 82% of what a battery could make with perfect knowledge of tomorrow’s prices, ahead of the popular industry methods.
Lab.RACSE, NTUA
9
Custom word segmentation pipelines
Local detectors trained on the client’s own documents find every word on pharmaceutical artwork, more precisely than the strongest commercial alternative.
WinMedica
10
Pharmaceutical OCR, Greek and English
Reads Greek and English pack text more accurately than the commercial cloud OCR services. Built for regulatory documents.
WinMedica
11
Greek invoice reader
Structured fields from scanned invoices of varied layouts. Validated and commercialised.
VisionIT
12
Private language models
Open-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.
13
Heat-pump performance across refrigerants
Regression models that predict cycle performance, including fluids not seen in training.
Lab.RACSE, NTUA
14
Plugins for energy design software
Plugins for building energy software such as IDA ICE that run automated design optimisation on the model.
Lab.RACSE, NTUA
How we work
1
Scope
We start from the workflow, the data and the decision, with the people who will use the system, and agree what will be measured.
2
Build
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.
3
Hand-over
The system runs on your infrastructure or ours, with documentation, training and continuing support.
The founder
Georgios Vamvouras
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.