Machine Intelligence for Time Series
- Model your timeseries and observe the trends and seasonalities
- Integrate exogenous variables
- Generate accurate hourly, daily, monthly forecasts
Powered by state of the art machine learning algorithms.
Retail
Predict upcoming sales across hundreds of stores and thousands of products.
Energy Demand
Forecast the hourly energy demand for the day-ahead across the grid.
Renewable Energy Production
Forecast the hourly energy production from renewable energy sources for the days-ahead.
Water Demand
Forecast the water demand for the days, weeks, and months ahead.
Personalized Consumption
Predict the energy/water consumption of thousands of individual end-users.
Cryptocurrency Market
Forecast profitable transactions for stock & cryptoccurency investors every hour.
Predictive Maintenance
Help predict when maintenance should be performed.
Churn Prediction
Predict how many customers will cancel the service subscription.
TS4: Time Series Forecasting platform
Why Choose TS4
The Time Series Forecasting platform for all your forecasting needs.
Experienced Researchers
Apply cutting edge research to your industry domain. We apply exploratory data analysis techniques to identify the driving variables for each time series.
State of the Art
Powered by artificial intelligence and state of the art deep learning algorithms. Includes adaptive feature selection, integration with exogenous variables and optimized model selection.
Review Your Case
Custom machine learning solutions made precisely for your organization’s needs. Made for you, with you.
Platinum award for MasRFS
RealMint AI, a spin off of Aristotle University of Thessaloniki, along with the company Diamantis Masoutis, received one of the 4 Platinum awards, in the Impact BITE Awards 2022 competition among the 350 projects submitted for evaluation, as they gathered the highest score for their Artificial Intelligence System, MasRFS (part of the TS4 platform), for demand forecasting.
MANTIS Team
Made up of a Professor and PhD candidates that are working on cutting edge Machine Learning solutions.
Ioannis Vlahavas
Professor
Director of the Intelligent Systems Lab. Elected EurAI Fellow in 2017. Has been involved in 35+ R&D projects and co-authored 350+ papers.
Lefteris Kouloumpris
ML Engineer
Expert in Time Series Forecasting in the retail & finance sectors.