Layer 04
Operating Systems
TheoAI™ — Agentic Theology OS
The customer-facing product. Theo, Majlis, and Mizan surface evidence-grounded Islamic reasoning to scholars, students, and institutions.
Technology The architecture
How TheoAI is composed.
Four layers, one model. The customer-facing Operating System at the top is what a scholar interacts with; beneath it the Digital Employee, the Eve-Theology™ Fusion v5 compound reasoner, and the Substrate that grounds everything. Numbered OSI-style — the foundation is Layer 01, ascending to the product at Layer 04.
The architecture Substrate → OS
The signal flows up; the foundation holds it down.
Layer 03
Digital Employees
Theo — the theologian
The agent with agency — persistent identity, continuous learning, vector memory. Theo reasons; the scholar decides.
Layer 02
Compound Reasoning Models
Eve-Theology™ Fusion v5 · F5/reasoner
Five cooperating models: a Phi-3 classifier, the Phi-4-derived F5/reasoner (LoRA fine-tuned on Eve-Genesis™ Uṣūl Edition), and three frontier models as consultants, composed best-fit per request.
Layer 01
The Substrate
Eve-Grid™ · Eve-Genesis™ · Eve
The foundation. Eve-Grid™ on Microsoft Azure hosts the fabric; Eve-Genesis™ (Uṣūl Edition) is the 100%-synthetic training corpus; Eve is the meta-orchestrator.
We don’t compete with frontier labs on foundation-model capability. We compose frontier models into our reasoning systems. Eve-Genesis™ training data is 100% synthetic by construction — no customer conversation is ever used to train a model.
Two deep-dives
The reasoning core and the synthetic corpus.
The reasoning core Eve-Theology™ F5/reasoner →
How a classifier, the orchestrating reasoner, and three frontier consultants cooperate
per request. Each model named, each role explained.
The synthetic corpus Eve-Genesis →
The 100%-synthetic reasoning dataset that LoRA-fine-tunes the reasoner. Trains
conceptual transitions, not conclusions. No customer data, by construction.
A note to the reader
Talk to our architecture team.
For institutions, scholars, and partners evaluating how TheoAI is built — from the Substrate up to the Operating System.
Start a conversation →