RONEU™

ON THE VERGE OF AGI.
We have engineered a new AI system that learns, adapts, and reasons in real time by integrating self-supervised learning and cross-modal fusion techniques. At its core, RONEU's NeuDB features a neural memory system that builds and continuously updates a neural graph-based representation of learning, allowing it to dynamically structure knowledge and refine its understanding with each new interaction. This neural memory functions as a self-organizing knowledge graph, where concepts, relationships, and experiences are encoded as interconnected nodes and updated based on new data, real-world interactions, and learned associations. Unlike traditional LLMs that rely on static memory data, our architecture allows RONEU's AI to retain knowledge, infer new relationships, and generalize learning across domains. For auditory perception, we use self-supervised speech understanding, enabling speech recognition, emotions, and environmental sounds correlated to the videos. RONEU can explains causal relationships, and continuously evolve to provide more intelligent engine for various use cases. Unlike static models, our system supports on-device learning, reducing reliance on cloud-based retraining and enabling autonomous, real-world adaptation.

R O N E U
If machines could anticipate our needs and work on their own human labor would no longer be necessary --Aristotle, Metaphysics (circa 350 BCE)

Science + Engineering

NEURAL MEMORY
Locomotive image from unsplash

Self-Refinement

Self-Contained Memory-Augmented Embodied AI
Neu Neural Memory Perception
RO Answer Everything Accurately
AGI Remember All & Never Forget

Direct Contact

i n f o @ r o n e u . c o m

Moving forward we are implementing remote real-time support.



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NeuDB: A Neural Memory Database

S C I E N T I F I C     O V E R V I E W

Transcend the limits of current AI by neural memory, real-time VLM, and intricate recall arciture.

Artificial General Intelligence.