Development of predictive systems

Team

We are a team of 30 engineers and consultants passionate about artificial intelligence and the practical application of the latest advances in research. Our mission: to democratize and simplify the use of AI for all our customers.

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Pablo, Partner & Head of AI

A graduate of HEC, Pablo is in charge of Galadrim's AI business development and advises our customers on the strategic aspects of their projects. Pablo previously worked as a mathematics teacher in higher education.

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Benjamin, Partner & CTO AI

An engineer from the École Polytechnique and the Corps des Mines, Benjamin supervises the technical team and advises our customers on the technologies best suited to their needs. He entered the world of entrepreneurship after a career in senior civil service, and has held a number of technical leadership roles.

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Our achievements

Demand forecast

School restaurant attendance forecast

Development of an algorithm for forecasting school restaurant attendance

Use of a variety of data: weather, timetables, students' appetite for menus, historical attendance figures
Integrating the algorithm into Turboself 4 software
Implementation of a continuous algorithm improvement pipeline, based on new data

Demand forecast

Optimizing cinema programming

Development of an algorithm to predict the number of spectators in a cinema for a given screening, based on performance history, the day and time of the screening, the film's popularity, etc.
Use these forecasts to create an algorithm for optimizing an exhibitor's programming schedule, maximizing the exhibitor's sales over a week while respecting the programming constraints imposed by distributors.
Deployment of the solution in the form of a web application at more than 15 cinema operators

Optimization

Risk calculation algorithms

Maintenance and evolution of the algorithm dedicated to financial advice during the construction of a portfolio of equities and money market funds.

Verification of customer data in order to offer them a portfolio of financial products tailored to their needs
Algorithm optimization to validate expected benchmarks
Maintenance and continuous improvement of monitoring tools

Use cases for prediction algorithms

Demand forecast

Time series

Regression

Fraud detection

Classification

Product recommendations

Classification

Regression

Credit scoring

Regression

Classification

Predictive maintenance

Time series

Inventory optimization

Time series

Regression

Customer churn analysis

Classification

Supply chain planning

Time series

Regression

Industrial anomaly detection

Classification

Marketing performance analysis

Regression

Dynamic pricing

Regression

Fault prediction

Time series

Customer segmentation

Classification

Capacity management

Time series

Regression