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Our products are used to:

_reduce the uncertainty of Machine Learning models,

_prioritize enterprise data efforts,

_support experts in the ML loop,

_improve the quality of ML models, especially in multi-class settings with complex ontologies,

_reduce data footprint and compactify ML models so as to be used by the Internet of Things applications,

_improve gaming experience via more challenging and realistic AI in games,

_create intelligent advisory systems from pre-compiled building blocks.

Rafał Tyl Head of R&D AI Agent Systems

A game programmer, primarily focused on artificial intelligence. Graduated from the Faculty of Mechatronics of Warsaw University of Technology, specializing in image processing, but switched fields to game programming soon afterwards. He is experienced in traffic simulation for mobile games and AI for real time strategies (e. g. Ancestors Legacy by Destructive Creations). Employed by QED Software since 2017, where he co-created the Grail framework. Currently working on a tactical game titled Tactical Troops: Anthracite Shift and Sensei - an ML-based game analytics system.

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