Substrate · Synthetic data
Eve-Genesis
Proprietary synthetic reasoning dataset. The corpus on which our Small Reasoning Models are trained.
Eve-Genesis is MindHYVE's proprietary synthetic reasoning dataset. It is the corpus on which the Small Reasoning Model component of every Eve-Fusion compound is fine-tuned.
The dataset is organized into ten domain-specific editions: Clinical (trains Eve-Healthcare), Education (trains Eve-Education), Legal (trains Eve-Legal), Usul (trains Eve-Theology), Financial (trains Eve-Finance), Insurance (trains Eve-Insurance), Real Estate (trains Eve-RealEstate), Commerce (trains Eve-Retail), Marketing (trains Eve-Marketing), and Engineering (trains Eve-Technology). Three editions are in production today (Clinical, Education, Usul); the remaining seven are in development on the roadmap.
Eve-Genesis is generated synthetically through a methodology that constructs domain-appropriate reasoning trajectories — calibrated by credentialed reviewers in each domain. No customer data is used in its construction. No PHI, FERPA-protected, privileged, or otherwise regulated customer data crosses into the training corpus at any point. This is structural, not aspirational.
The Eve-Genesis methodology is the difference between a generic foundation model that has been prompted with domain context and a specialized reasoning model that has been trained on domain-shaped reasoning. The former is a wrapper. The latter is the substrate.