QARIN:
Governed Self-Evolving Intelligence
for Complex Adaptive Systems

A public overview of our hybrid intelligence framework

The Challenge: Your AI makes decisions. Can it explain them to a regulator? And when the world changes, can it safely evolve to keep up?

Most AI systems can't. QARIN can—because it treats reasoning as a governed scientific loop and learns continuously through a cryptographically verifiable chain of hypotheses, experiments, and governed updates.

Quick Links: 👉 [Schedule a Fraud/Risk Consultation] 👉 [Schedule a Science/Research Consultation] 📄 [Download Fraud Detection Case Study] 📄 [Download Framingham Science Case Study] 🔧 [Full Technical Overview]

🛑 The Problem: Static AI in a Moving World

Modern AI—GPT, Claude, and bespoke enterprise models—excels at pattern matching. But they are static. Once trained, they are frozen. To learn new domains or adapt to new regulations, they require expensive, opaque retraining.

In regulated, research, and mission-critical environments, this rigidity is a liability.

The Cost of Black-Box AI

  • 🔬 For Research: Wasted cycles on dead-end hypotheses. (QARIN tests 60 hypotheses in <1 day; humans take weeks).

  • 🏢 For Enterprise: Liability when high-stakes decisions lack reasoning trails. (QARIN provides a signed audit trail for every inference).

  • 🌍 For Everyone: Systems that drift, hallucinate, and fail to adapt.

You can accept these risks—or build a different kind of intelligence.

🧠 The QARIN Approach: Governed Recursive Architecture

QARIN is not just a model. It is a Self-Evolving Intelligence Platform. It combines the reasoning power of LLMs with the rigor of the Scientific Method and the adaptability of General Learning.

1. Scientific Loop Orchestration

QARIN's core engine mirrors the scientific method:

  • Hypothesis: Propose reasoning paths.

  • Experiment: Run structured tests (simulations, retrieval).

  • Measurement: Evaluate performance.

  • Governance: Apply safety policies.

  • Learning: Update behavior only when policies are satisfied.

2. Autonomous Cognitive Evolution (NEW)

QARIN doesn't just run experiments; it learns from them. Using our proprietary UFCT General Learningframework, the system autonomously refines its own reasoning strategies. It can transfer insights from one domain (e.g., Mathematics) to solve problems in another (e.g., Biology or Fraud Detection)—without human retraining.

  • Continuous Improvement: The system "dreams" offline, simulating scenarios to optimize its neural manifolds.

  • Governed Evolution: Every update is a "Proposal" that must pass the Gnosis governance gate. It evolves, but it never violates your safety constraints.

3. Specialist Manifolds

Instead of a monolithic "one-size model," QARIN decomposes capabilities into specialist manifolds (Quantitative, Ethical, Creative). Requests are routed through the relevant manifold for domain-appropriate reasoning.

4. Guardian & Gnosis — Multi-Layer Oversight

  • 🛡️ Guardian: Operational safety (toxicity, privacy).

  • ⚖️ Gnosis: Value alignment and Evolution Governance. No model update happens without Gnosis approval.

5. Cryptographic Provenance

Every artifact—datasets, decisions, and learned updates—is hashed and signed. You can prove exactly why the AI evolved the way it did.

📊 What We've Proven So Far

QARIN is not speculative. We have validated the architecture on real-world and synthetic benchmarks.

DomainKey ResultsClinical Science (Framingham)

• 60 hypotheses tested across risk factor families.


• Re-derived classical risk structure autonomously.


• Result: Non-linear extensions added ~1.5% improvement.

FinTech (Fraud Detection)

• 19 fraud hypotheses tested.


• ROC AUC = 0.92 (≈110% improvement over baseline).


• Discovered strong temporal/feature-interaction patterns.

General Learning (Cross-Domain)

• Zero-Shot Transfer: Transferred "Math Reasoning" traits to "Protein Folding" tasks.


• Self-Correction: Detected high entropy and stabilized reasoning autonomously.


• Result: Governed evolution improved performance without human intervention.

Export to Sheets

Cost & Speed Efficiency

  • ⚡ €0.01 per hypothesis.

  • ⚡ 60 hypotheses in <1 day.

  • ⚡ Full Cryptographic Provenance.

🚀 Development Status

QARIN is research-grade software under active development.

✅ Proven Today

  • Governed Scientific Loop: Planning → Execution → Analysis.

  • Two Validated Domains: Framingham & Fraud.

  • UFCT General Learning (Production Alpha): Self-evolving manifolds with cross-domain transfer.

  • Cryptographic Provenance: Full audit logging.

🔄 Active Development

  • Advanced Dreaming: Large-scale offline simulation.

  • Real-Time Gnosis: Integration with live legal/compliance APIs.

Contact

Research Pilots: pilot-research@unifiedfield.tech
Enterprise Pilots: pilot-enterprise@unifiedfield.tech
General Inquiries: hello@unifiedfield.tech

QARIN is research-grade software under active development. We commit to transparent, evidence-based claims and to co-designing pilots that match the current maturity of the platform.

Proven. Governed. Traceable.

Version 2.0 — Updated 2025-11-17
Includes Framingham cardiovascular risk validation (60 hypotheses) and credit card fraud detection validation (19 hypotheses)