Unlike systems built solely on scaling language models, the NARI architecture implements machine reasoning based on formal evidence, memory, NBS-native thought, axiology, operational self-modeling, and governed behavior.
NARI scales by cognitive structure: from a compact domain brain for edge devices to multi-domain coordination and the GENESIS research goal of general artificial reasoning intelligence.
NARI NANO
Compact cognitive architecture for a single bounded operational world: local, auditable, secure under operator supervision, built on evidence, risks, rules, constraints, and the authority model of its domain.
Open NANONARI NEXUS
Coordination layer between tools, memory, plans, operators, and specialized NANO domain architectures — without collapsing everything into a single black-box model.
Open NEXUSNARI GENESIS
Full-cycle artificial reasoning research architecture in which memory, values, self-modeling, world model, planning, learning, and governed action are implemented as explicit executable components.
Open GENESISFUSION GATE / COGNITIVE SYNTHESIS MODULE
Each NARI brain is a neuro-synthetic artificial reasoning system divided into specialized cognitive spheres: NANO (4 spheres), NEXUS (12 spheres), or GENESIS (30 spheres). The cognitive synthesis module takes their independent conclusions, cross-validates evidence, calibrates confidence, evaluates safety profile, authority limits, and logical contradictions, then deterministically forms a single governed output.
Reasoning without transformer overhead
Modern AI systems depend on massive transformer models and specialized accelerators, approximating cognition through language patterns. NARI implements an alternative paradigm: decomposition of cognitive functions into specialized spheres and the use of compact reasoning structures for processing evidence, memory, risk assessment, value principles, and authority.
The result is a neuro-synthetic cognitive architecture optimized for execution on general-purpose CPUs and edge hardware, without requiring GPUs, NPUs, or cloud infrastructure.
Research Thesis
It will arrive through a shift to a new neuro-synthetic cognitive architecture that replaces probabilistic generation with deterministic, transparent, and governable machine reasoning.
PRACTICAL APPLICATION
Our work is not limited to fundamental research. We focus on practical implementation of advanced technologies, integrating them into real operational environments and critical infrastructures. We turn theoretical concepts into ready engineering products capable of functioning under real-world conditions.
A prime example of the transition from theory to industrial operation is the cybersecurity direction. Our architectures are already successfully integrated into the Rizoma product ecosystem, now part of the Rizoma Mesh line. Detailed information is available at rizomasec.ru.