Ontic Fabric — direct your inference. Your data, your rules.

Auditable AI.
Typed Evidence Substrates.

Ontic Fabric is a deterministic evidence substrate that forces probabilistic AI into auditable, ACID-compliant outputs at the OS boundary.

The Problem with Probabilistic AI

Enterprise operations require mathematical certainty and legal defensibility. Yet, modern AI models are inherently probabilistic—they generate plausible text, not verifiable truth.

Without a rigid structural boundary, deploying AI in high-stakes environments introduces unacceptable compliance and operational risks. You cannot audit a hallucination.

The Compliance Gap

  • Unpredictable execution paths
  • Opaque reasoning and data lineage
  • Inability to guarantee SOC2 compliance
  • Lack of ACID transactional guarantees

The Inversion of Control

Ontic Fabric is not a chatbot. It is a rigid mathematical cage for LLMs, ensuring every output is structurally sound and fully auditable.

Step 01

Deterministic Substrate

We replace open-ended prompts with a strict, POSIX-native execution environment. The AI operates within a constrained, invariant substrate where rules are enforced at the system level.

Step 02

Typed Evidence

Every assertion, decision, and data point generated by the model is captured as a strongly-typed node in a verifiable knowledge graph. Lineage is preserved cryptographically.

One Substrate, Every Domain

Your organization does not reason in silos, and neither should your evidence layer. Ontic Fabric composes multiple domain models — code, legal obligations, financial records, infrastructure — into a single governed graph, so an AI operating across departments works from one consistent, auditable source of truth.

Composable Ontologies

Cross-Domain Reasoning

Compose the models your enterprise already runs on into one substrate. A compliance obligation can link directly to the system that satisfies it, and an audit can traverse that link — no brittle integrations, no data silos.

Execution Graph

Auditable Dependencies

Every task, decision, and approval is a typed node in a dependency graph with explicit blocks and depends-on relationships. Nothing advances out of order, and the full chain of what preceded any outcome is preserved for review.

Governed State

Enforced Workflow

Work moves through a strict, enforced state machine rather than an open-ended prompt. Each transition is recorded, giving you a defensible record of process from initiation to completion.

Enterprise-Grade Deployment

Ontic Fabric is designed for Fortune 500 CIOs and risk-averse enterprise buyers. We offer a fully managed deployment model tailored to your security posture.

Your Google Cloud

Deployed directly into your existing GCP organization for maximum data sovereignty and control.

Our Google Cloud

A fully managed, isolated tenant in our SOC2-friendly infrastructure for rapid onboarding.

Request a Pilot

Ontic Fabric is currently in a closed pilot program for select enterprise partners. Register your interest to secure early access.

Having trouble? Email us directly.