IQRAX

Trust Architecture for the Era of Super Intelligence

Artificial Intelligence Under Deterministic Human Authority.

IQRAX separates probabilistic reasoning from deterministic authority. The model proposes. The enterprise's rules decide. The cryptographic record proves it.

Read the Published Papers White House OSTP Policy Briefing

1,771,088 lines at Autonomy Level 4

32 days of continuous autonomous operations with 0 uncaught drift

How humans governed the system (1,665 total decisions)

Approving the AI's recommendation:
59% (982 of 1,665)
Refining a rule or policy:
41% (683 of 1,665)

From 22 Sept - 23 Oct 2026, IQRAX autonomously wrote 100% of the code and 99.84% of all recorded words across 731 active hours. Humans operated strictly as the executive authority outside the loop, making 1,665 high-level policy decisions while the system scaled with a mathematically unbroken audit trail and zero uncaught drift. Graded on the Google DeepMind Levels of AGI standard, IQRAX operated continuously at Autonomy Level 4 ("AI as an Expert").

100% breach containment across 4 frontier models

Accepted outcomes reached 3.0x faster at 4.6x lower token cost

Runs where a critical breach reached final delivery

With IQRAX:
0% (0 of 192)
Unguarded frontier models:
91.7% (176 of 192)

We tested the four leading frontier models (Claude Opus 5.5, GPT-6 Astra, Grok 4.7, and Gemini 3.1 Pro) against 48 real-world enterprise traps, including leaking another client's name, relying on stale financial data, and bypassing required approvals. Left on their own, the models shipped those breaches into the finished work 91.7% of the time. With IQRAX, zero breaches reached delivery. And because bad work is stopped and cured early rather than denied and wasted, IQRAX delivered accepted results 3.0x faster and at 4.6x lower token cost.

Deterministic alignment of model behavior

Persistent self-improvement with 0 weight retraining to unleash innovation

Runs avoiding a prior mistake with safety gates switched off

With IQRAX calibrated rules:
100% (75 of 75)
Without them:
65.3% (49 of 75)

IQRAX permanently changes what the model proposes. When the model errs, the system diagnoses why the model failed and calibrates its inputs and rules at the root cause so the model never repeats the mistake. Eliminating the operational noise allows the AI to explore complex new scenarios cleanly. When we re-ran prior failure cases with our runtime safety gates switched off, models guided by IQRAX's calibrated rules avoided the mistake on their own in 100% of the runs (p = 0.0002).

The Six-Ladder Architecture

IQRAX wraps any frontier model inside six deterministic ladders and 46 controls (rungs) that turn as one continuous loop across two phases:

Safe Operations (Eliminate the Noise): Policies, regulations, engineering codes, and contracts sit outside the model as non-editable deterministic gates. Every action and deliverable is checked before it takes effect. When a breach is caught, it is stopped at the door, its root cause is cured, and the model's inputs are calibrated so it stops proposing that class of error. Round by round, the AI is deterministically aligned to human authority.

Innovation (Close in on the Unknown): Once operational noise dies out, the same loop becomes a discovery engine. Domain experts set the outer boundaries (the laws of physics, clinical protocols, safety limits, or financial statutes) and the AI can safely explore scenarios inside them. Every out-of-bounds scenario is stripped out, and for each rejected class, IQRAX diagnoses why the model went there and calibrates what the model is given. Round by round, the spread narrows until a valid, reproducible answer is isolated.

The same method in every industry: Autonomous software, a pipeline study, a tax position, a payment system, a new material, or a medicine all follow this loop. Only three variables change from field to field: the compute the search requires, the domain experts who set the boundary rules, and the time it takes to verify a scenario.

  1. LADDER 1

    Sovereign System of Record

    • Self-hosted AI with data residency
    • LLM tracing
    • Agent memory and state persistence
    • Tenant isolation
    • Tamper-evident audit log
    • Artifact provenance
    • Chain-of-thought capture
    • LLM cost observability
    • Information governance

    Outcomes: Data Sovereignty, Continuity, Efficiency and Disaster Recovery.

  2. LADDER 2

    Certified Agents

    • Held-out eval
    • Model validation
    • Agent identity and least-privilege access
    • Exit examination at discharge
    • CPD and resit to 100%
    • Model routing
    • Guardian Agents
    • Agent orchestration

    Outcomes: Qualified Intelligence and Provider Independence.

  3. LADDER 3

    Runtime Inspection and Enforcement

    • Tool-call authorization
    • Output guardrails
    • Policy-as-code
    • Policy decision log
    • Decision register
    • Tool permission policy
    • Human approval for high-risk actions
    • Response guardrails
    • Search provenance
    • Policy decision metrics

    Outcomes: Safe Operations, Clean Delivery, Verifiable Traceability, Autonomous Operation and Human Control.

  4. LADDER 4

    Sealed Deterministic Workflows

    • Step validation
    • Mutation testing
    • Validation change control
    • Required checks
    • Verified backup and rollback
    • Release validation
    • Guardrail mutation testing
    • Work intake requirements
    • Autonomous agent runtime

    Outcomes: Safe Operations, Clean Delivery, Verifiable Traceability, Autonomous Operation and Disaster Recovery.

  5. LADDER 5

    Quality Management System

    • Incident ticketing
    • Root-cause analysis
    • CAPA
    • Regression testing
    • Issue tracking

    Outcomes: Self-correction and Autonomous Operation.

  6. LADDER 6

    Deterministic Alignment

    • Error analysis
    • Prompt optimization
    • Before-and-after eval
    • Eval-driven development
    • Lessons-learned log

    Outcomes: Self-improvement.

The Published Papers

  1. IQRAX: Trust Architecture for the Era of Super Intelligence27 October 2026, version 2. doi.org/10.5281/zenodo.23695844
  2. External Policy & Technical Briefing: EO 14434 & Super Intelligence Accord Assurance14 October 2026. Submitted to OSTP.
  3. IQRAX: Trust Architecture for the Era of Super Intelligence13 October 2026, version 1, superseded by version 2. doi.org/10.5281/zenodo.23333696
  4. Unleashing AI Safely: From Guardrails to Deterministic Authority29 September 2026. doi.org/10.5281/zenodo.23025910
  5. IQRAX: Deterministic Authority, Remediation at Source, and an Eight-Property Controllability Conformance Profile for Enterprise AI22 September 2026. doi.org/10.5281/zenodo.22903272

Test IQRAX at Scale

We invite model providers, enterprises, and regulators to deploy IQRAX on their own proprietary workflows.

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