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We are the ideal partner for your AI journey
Deep Knowledge
of Processes
Measurable Results
in a Short Time
Dynamic Solutions
Our founders have years of experience in business processes, gained through significant projects that led them to work with many important companies both domestic and international.
Artificial intelligence is the natural evolution of applied sciences like mathematics and statistics. As a scientific discipline, its results are objectively measurable and verifiable in a reasonable timeframe.
AI introduces machine learning and continuous improvement. AI-based solutions are constantly evolving and becoming richer over time, without requiring ongoing investment.

Machinery Manufacturing
A monitoring system has been developed that provides early warnings about the need to replace worn components or perform maintenance. This system integrates seamlessly with the order flows for spare parts and service assistance.
Children's clothing package
Thanks to a market and consumption simulation model in the clothing sector, the management of the assortment across thausand points of sale has been optimized according to various periods of the year and consumer preferences.


Sales of Consumer Electronics
The implementation of the Demand Forecasting model has helped reduce supply delays for retail outlets.
Production of keys and locking systems
The issue of high storage volumes of heavy materials, which entail significant costs, has been addressed. The implemented model aimed to define optimized minimum stock levels


Production of materials and medical devices for dental technicians.
The predictive model introduced has led to a reduction in inventory value and has significantly minimized stockouts, thereby enhancing warehouse management and customer relationships.
Production of scales and slicers
The calculations performed by the predictive model have facilitated a conscious management of the minimum reorder quantities, even with a large number of components being managed.


Cash & Carry
The demand forecasting algorithm has improved the quality of replenishment services at retail locations, reducing stockouts and lowering inventory levels.
Bottling and distribution of wine
The developed model focuses on demand forecasting to optimize storage and shipping operations.


Winery
A model trained with image-derived data has enabled the development of a system to monitor vineyards and identify potential pests, facilitating the timely detection of plant health issues and the implementation of corrective measures.
Production and distribution of car components
Using a comprehensive database (auto parts for models produced since 1970), an artificial intelligence algorithm has been developed to enable rapid and semantic search of SKU.


Machinery Manufacturing
A predictive model has been created to optimize inventory, minimum levels, and reorder batches for various types and quantities of products in stock.
Production of health devices
A demand forecasting model, trained with historical data and exogenous variables (such as epidemics, diseases, public health indicators, and healthcare spending trends), has enabled the optimization of reorder levels in warehouses.

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