Current Architectures & R&D
Projects currently under active development and research.
SAGUS: Next-Gen Backend Architecture
A State Aware Graph Unified Backend System with multi-hop reasoning where the graph gets updated based on the user or the domain flow. Integrating RLM (Recursive Language Model) and a Graph Unified Structure, it continuously learns and adapts without quadratic compute scaling.
[ RLM (Recursive Language Model) Diagram ]
[ Graph Unified Structure ]
The Future Belongs to the Bold.
SAGUS isn't just an iteration; it's a paradigm shift in how machines process, retain, and scale logic. I am currently opening dialogue with forward-thinking enterprises, AI research labs, and visionary engineers.
Seeking: Strategic Partnerships · Contracting · Institutional Collaboration
QU-SSM: Constant-Memory State Space Models
A deep learning architecture engineered to bypass the quadratic compute and linear KV-cache expansion of traditional Transformers. Implementing Quasi-Unitary recurrent state manifolds and Isometric Associative Memory (ISOM), QU-SSM achieves strict O(1) constant inference memory with linear time scaling, completely eliminating dissipative memory loss across infinite sequence lengths.
SAGUS (State Aware Graph Unified Backend System)
The community's thoughts and enquiries regarding this R&D and RLM architecture.
