Track A — Published
Research released for public review. No agreement required.
AGI R&D Division
A standardised cognitive proficiency framework for AI code-generation agents. Structured test harness: deterministic scenarios, trap conditions, and scored delivery across two evaluation tracks. Track A results: top frontier models scored at ceiling. Track B (Agentic, April 2026): 14 models evaluated on autonomous delivery — first study to isolate delivery-surface behaviour as a primary outcome variable.
AGI R&D Division · Sub-paper of AGI-R-01
A companion study to the ACB. 13 frontier models, agentic interface conditions, five observed failure strategies. Finding: the delivery interface — not model capability — was the primary determinant of outcome.
Signal Portfolio — AGI R&D Division
38 active research threads across 12 domains. Detail access requires NDA.
Pre-NDA · Full portfolio on request
Non-Destructive · Infinite · Sustainable
HOW AI SYSTEMS LEARN AND REASON
Benchmarks, evaluation criteria, and architectural principles for AI cognition — grounded in governance-first design rather than benchmark gaming.
GOVERNANCE ARCHITECTURE FOR AI SYSTEMS
How rules, boundaries, and decision authority are encoded into AI system design at the architectural level — not as policy documents, but as engineering constraints.
MEMORY, PERSISTENCE, AND CONTINUITY
What principled, governed persistence looks like for AI systems — carrying forward context, identity, and prior state without compromising integrity.
IDENTITY, VERIFICATION, AND SECURITY
How to verify operator identity and confirm a system has not drifted from its authorized state — identity anchoring, verification protocols, and sovereign access control.
MULTI-AGENT SCALE AND COORDINATION
Governance, coherency, and trust across networks of coordinated AI agents — addressing emergent behaviours that single-agent frameworks cannot anticipate.
THE PHYSICS AND METAPHYSICS OF INTELLIGENCE
The mathematical and physical properties underlying cognition and emergence — and the structural boundaries of what artificial general intelligence can and cannot be.
BUSINESS FORMATION AND PLATFORM STRUCTURE
How a sovereign AI holding company structures itself for commercialization — formation architecture, licensing strategy, and the IP disclosure pipeline.
PLATFORM ENGINEERING AND DEPLOYMENT
The engineering path from research artifact to deployed system — architecture, infrastructure, integration, and sovereign hosting.
CROSS-THREAD COHERENCY
Internal consistency across 38 active research threads — ensuring no two frameworks contradict each other as the portfolio grows.
SPATIAL INTELLIGENCE
How AI systems operate in and reason about spatial environments — geographic and cartographic data, physical-world anchoring, and the convergence of intelligence and place.
SOVEREIGN MEDIA GENERATION
AI-generated media at production quality — video, audio, structured narrative. Generation architectures, quality governance, and distribution infrastructure independent of platform lock-in.
DIMENSIONAL SUBSTRATE FRAMEWORK
A formal mathematical and physical framework underlying the portfolio's governance architecture — dimensional geometry, modular arithmetic, and boundary condition theory applied as constitutional axioms. The 11th dimension is treated not as a compactified static axis but as a dynamic separating interval; the 12th as a generative boundary condition that encodes structural invariants across the system. Five working papers in progress targeting peer review.
Research corpus © ALSI Inc. All Rights Reserved. IP protection filings in progress. Full portfolio available under NDA.
