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One-way NDA by default — ALSI Inc. discloses to the evaluating party under standard confidentiality terms. Mutual NDA available where clear collaboration or partnership is being explored.
For Institutional & Strategic Evaluation
Institutional Engagement
For parties evaluating Human.Exe's Geometric Intelligence research at the investment, government, or strategic level. Public research is open to everyone. The governed intelligence and managed memory product is account-based, with plans for expanded capacity and workspace tools. These briefs exist for a different conversation: due diligence, institutional evaluation, partnership exploration, and financial strategy.
Liability Waiver
Required for advanced engagements. Acknowledges that Human.Exe structures the inference process but does not control the underlying model. You bring your own AI provider key — we route, analyse, and audit, but provider-side behaviour is outside our boundary.
Cognitive Waiver
Required for any complex inquiry — including mentorship pathways, multi-domain engagement, and advanced governed sessions. Acknowledges the structural nature of the governance process. Paired with NDA by default.
Architecture & Strategy Brief
AFTER NDATechnical and financial overview of the platform architecture, IP position, market thesis, and integration surface. Designed for investors, government evaluators, and strategic partners. Provided after NDA execution.
Who Engages
Investors
Due diligence on IP, architecture, and market position
Government
Regulatory evaluation, sovereignty compute, compliance
Strategic Partners
Integration planning, co-development, licensing
Enterprise
Custom deployment, SLA negotiation, audit requirements
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Research Index · Jump To
Three tracks. Tap a card to jump straight to that catalogue.
ALIVE
Track A — Published
Public-release research. ACB benchmark + companion failure-variance study.
2 papers
BLIVE
Papers Corpus
Public + NDA-tier papers. Title-only previews until access is granted.
4 papers
CIN DEV
Signal Portfolio
38 active research threads across 12 domains. Detail access requires NDA.
12 domains · pre-NDA
Track A — Published
Research released for public review. No agreement required.
AGI-R-01v1.1
ALSI Inc. · AGI R&D Division · 2026
Agent Cognitive Benchmark
Abstract
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.
benchmarkcode generationagentic deliveryintelligent frameworkfrontier models
ALSI Inc. · human-exe.ca · Public ReleaseRead Paper →
AGI-R-01-S1v1.0Sub-study of AGI-R-01
ALSI Inc. · AGI R&D Division · April 2026
Agentic Interface Failure Variance
Abstract
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.
agentic interfacesfailure modesfrontier modelsdelivery surfaceinterface effects
ALSI Inc. · human-exe.ca · Public ReleaseRead Paper →
Track B — Papers Corpus
Selected research releases. Public papers are openly available; NDA-tier papers display title and series only until access is granted.
COG-HOW-AI-SYSTEMS-01
ALSI Inc. · AGI R&D Division
Confident and Wrong
The Evaluation Problem in AI Cognition
Abstract
There is a property shared by almost every AI evaluation process in production today. It is not a flaw that any individual organization introduced. It was inherited — from how these systems were trained, what they were optimized for, and why that optimization produces a specific category of failure that standard review processes are structurally unable to detect.
ALSI Inc. · human-exe.caRead Paper →
GOV-GOVERNANCE-02
ALSI Inc. · AGI R&D Division
The Collapse Signature
What Civilization History Teaches Us About AI Governance Failure
Abstract
In 2026, AI governance is typically framed as a recent problem requiring novel solutions. The framing is wrong. The problem is ancient. The solutions — successful ones — are documented across three thousand years of civilizational history. What is novel is the substrate. What is not novel is the structural failure mode.
ALSI Inc. · human-exe.caRead Paper →
COG-THE-BLANK-SLATE-04
ALSI Inc. · AGI R&D Division
The Blank Slate Problem
What It Actually Means to Work With an Amnesiac System by Design
Abstract
Here is a situation that anyone who has worked extensively with AI systems will recognize immediately, even if they have never articulated it precisely.
ALSI Inc. · human-exe.caRead Paper →
COG-GOV-COHERENCY-IS-NOT-A-05
ALSI Inc. · AGI R&D Division
Coherency Is Not a Feature
Why Consistent Output Is a Precondition for Trust, Not a Quality Level
Abstract
Consider two AI systems deployed in production.
ALSI Inc. · human-exe.caRead Paper →
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 agentic memory 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.