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Discover how we leverage artificial intelligence to create solutions that tangibly enhance the value of your products and applications. We combine cutting-edge AI technologies—including large language models, machine learning, and advanced data analytics—with the specific business needs of our clients.
We offer both off-the-shelf products and fully customized solutions tailored to your organization’s unique challenges and goals. We support businesses in areas such as process optimization, forecasting, automation, data analysis, and intelligent user support. Our products are built on either on-premises infrastructure or proven platforms like Microsoft Azure AI. We create AI solutions that work, deliver value, and help build a competitive advantage.
It allows you to ask questions about market data in natural language, automatically generating SQL queries and returning results in a readable format.
It enables data visualization and the integration of multiple information sources, supporting rapid operational and market analyses.
It utilizes a multi-agent AI architecture, including a proprietary model for optimizing energy storage operations.
Designed with scalability in mind — easily expandable with modules for forecasting, price analysis, or market indicators.
An interactive chatbot that answers questions in natural language and guides the user through system processes and functions in a simple, understandable way.
It relies exclusively on loaded instructions and standards (e.g., SOWE, WIRE, IRiESP, WDB), thereby providing reliable, source-based answers—and clearly states when it lacks information within the documentation.
Thanks to integration with the LUXtrade ecosystem, the user can quickly switch to the Assistant from any application while maintaining their work context.
An expandable solution — allows for the easy addition of new documents, standards, and instructions, enabling it to grow alongside user needs and market changes.
It utilizes advanced machine learning models that analyze market and volume data, generating action strategies for individual auctions.
It automatically prepares recommendations and forwards them to the order generator, supporting rapid, precise, and efficient trading decisions.
It combines multiple data sources and expert knowledge (e.g., consultations with traders) to continuously improve algorithms and enhance model effectiveness.
We generate accurate renewable energy generation forecasts by combining physical models with advanced AI models based on neural networks that utilize power measurement data, weather data, and the outputs of physical models.
We build machine learning-based predictive models for energy prices—analyzing market data, volumes, historical prices, and operational signals—to support precise trading decisions.
We also develop other forecasting and optimization models, custom-designed to meet client needs and the specific nature of their business processes.