brAIn engine
Adaptive AI for games and learning
Cognition as a foundation.
Built on advanced cognitive research that models human brain function, brAIn engine is fundamentally different from data-hungry, monolithic AIs. Instead of relying on massive cloud servers or pre-baked behaviors, our modular engine perceives, reasons, and learns entirely from scratch directly on the user’s device, ensuring zero latency and absolute data privacy.
Because the engine learns continuously rather than requiring retraining, it adapts to the unique behavior of every individual. For game developers, this means creating characters with genuine empathy, memory, and imagination who evolve based on how you play. For researchers and educators, it delivers a highly personalized, context-sensitive intelligence perfectly tailored for next-generation educational deployment.
Research underlying brAIn engine was conducted by Fabian Schrodt Computing and supported by the German R&D funding program. Quantum Gaming utilizes the resulting technology.
Core Capabilities
What our cognitive AI can do.
Foundational capabilities
Real-time learning
brAIn engine leverages real-time learning to adapt dynamically to player behavior and environmental changes, enabling AI that evolves continuously.
This approach offers game developers and researchers a versatile, cutting-edge tool for creating interactive, intelligent, and highly responsive AI experiences.
On-device AI
brAIn engine’s On-Device AI ensures that your software runs directly on end users’ hardware, resulting in low latency, better data privacy, and fully autonomous behavior.
This allows game developers and researchers to create adaptive real-time experiences without relying on cloud infrastructure or constant connectivity.
Advanced capabilities
Custom language models
We design custom language models tailored to your specific data and applications, enabling personalized, context-aware AI.
From data generation and augmentation to fine-tuning and continual learning, our solutions empower game developers and researchers to integrate LLMs that evolve alongside their projects.
Embodied language models (ELMs)
Our embodied language models combine LLMs with proprietary reinforcement learning, grounding AI in simulated bodies. By learning through observation, dialogue, and experience, these agents provide game developers and researchers with adaptive, context-sensitive intelligence that minimizes hallucinations and learns rapidly from its environment.
Read more in our scientific Publication about this.
Technical specifications
Built for integration.
Platforms
Performance
Unity Integration
Security
Scalable & modular
See it in action
Shipped. Played. Funded.
Marbles AI
Quantum physics meets gameplay
Qookies (GALaQSci)
How we work with you