A fusion of five cooperating reasoning models in a compositional fabric — purpose-built for educational environments. Deployed on Eve-Grid™. Trained on Eve-Genesis (Education Edition) — synthetic reasoning data, not customer data.
The Fusion of five cooperating reasoning models. Phi-3 classifier, Phi-4 SRM, Opus 4.7, GPT-5.4, Llama series. Each model named, each role explained.
The synthetic corpusEve-Genesis (Education Edition) is the synthetic educational reasoning corpus that LoRA-fine-tunes the Phi-4 educational reasoner. Pedagogical taxonomies, curriculum-aligned reasoning traces, no customer data ever used for training.
The cloud substrateThe Azure-native architecture that hosts F5/reasoner. HYVE = Hyper Yielding Vectorized Entity. Multi-tenant isolation, regional data residency where regulatorily required.
The customer-facing products.
VLE, CLE, SLE, and ULE are productized vertical platforms — structured-workflow UI, embedded Digital Employee reasoning, deep institutional integrations, and compliance-grade audit trails. Customers interact here.
The agents with agency.
Each Operating System is powered by AI Digital Employees — workflow-bound AI specialists with persistent identity, continuous learning, and Azure AI Search-backed vector memory. ArthurAI™ is led by Arthur, the educational-reasoning specialist. The Digital Employees are AI specialists, not licensed educators. They reason; the educator decides.
Eve-Fusion™ family. The Fusion of five.
Eve-Education™ Fusion v5 composes five cooperating reasoning models: a Microsoft Phi-3 classifier (sub-200ms routing); a Microsoft Phi-4 Small Reasoning Model fine-tuned on Eve-Genesis (Education Edition) as the educational reasoner; and one to three commercially available frontier models (Claude Opus 4.7, Claude Sonnet 4.6, Claude Haiku 4.5, GPT 5.4, Llama series) composed dynamically per request. The architecture is plug-and-play and modular — when an institution or jurisdiction prohibits a specific provider, that frontier slot swaps out without rebuilding the agent.
Eve-Grid™ on Microsoft Azure.
Eve-Grid™ is MindHYVE's proprietary cloud architecture, custom-engineered for compound-AI workloads and deployed on Microsoft Azure — not a generic Azure deployment. Eve-Genesis™ (Eve-Genesis (Education Edition)) is the proprietary synthetic reasoning corpus that fine-tunes the Phi-4 educational reasoner via LoRA adapters. Eve is the meta-orchestrator. Together: the body, the cognition, and the training of the platform.
Each Digital Employee gets the appropriate set of frontier and proprietary models for its workflow, without forking the underlying architecture.
Vision tasks (diagram analysis, handwritten work review) route to vision-capable models. Text reasoning routes to text-strong models. Cost-sensitive tasks route to small fast models.
Where an institution or jurisdiction prohibits a specific model provider, that provider is swapped out of the relevant agent's frontier slot without rebuilding the agent.
When new frontier models are released, they are integrated into the appropriate slots without retraining the proprietary classifier or Small Reasoning Model. The architecture absorbs frontier progress.
Every output from a Digital Employee is auditable and traceable to its underlying reasoning. The Operating Systems are structured-workflow, not free-form conversational, by design — because free-form interfaces are incompatible with the auditability requirements of regulated industries.
ArthurAI™ produces structured analytical output with evidence presented openly, reasoning visible at every step, confidence calibrated, every source cited. The educator decides what to act on. The AI reasons; the educator decides.
For CIOs, CTOs, procurement teams, and partner integration teams evaluating architecture fit.
Start a conversation →