Most Enterprise AI initiatives fail because they try to "boil the ocean"—dumping Sales, HR, and Manufacturing data into one massive Data Lake. This leads to expensive token costs, security risks, and hallucinations (e.g., confusing a "Sales Lead" with "Lead Poisoning").

Code On Time offers a different approach: The Federated Knowledge Mesh.

Rather than building one giant brain, use the Micro-Ontology Factory to wrap your existing systems in secure, intelligent API shells.

1. Wrap, Don't Move

Stop building ETL pipelines. Instantly generate a Micro-Ontology (a self-describing HATEOAS API) around your existing SQL databases.

• Zero Data Gravity: Your data stays where it is—on your servers, in your SQL tables. We simply provide the "Cognitive Layer" that makes it accessible to AI.
• Instant Schema Mapping: The Axiom Engine analyzes your database schema and automatically constructs the entities, relationships, and navigation paths required for an AI Agent to understand your domain.

2. Active Logic & Control

Standard knowledge graphs are passive; they define relationships but not rules. They can tell an AI that "User A manages Budget B," but they can't stop the AI from spending it.

• The "Invisible UI": Our engine generates a HATEOAS API that serves as the "rails" for your AI. It tells the Agent exactly what actions are valid at any given moment (e.g., "Approve" is only available if Status == 'Pending').
• Enforced Security: Every interaction is governed by Static Access Control Rules (SACR) and ACLs. The Micro-Ontology enforces these rules deep in the framework, ensuring that no Agent (or human) can ever hallucinate an unauthorized transaction.

3. The Federated Knowledge Mesh

Don't build a monolith. Build a mesh.

• Domain Isolation: Keep "HR Data" and "Sales Data" in separate Micro-Ontologies to prevent context contamination.
• Identity Fabric: Use our built-in Federated Identity Management (FIM) to link these ontologies together. A Digital Co-Worker can "consult" the Inventory Ontology to check stock levels while conversing with a customer in the Sales Ontology, maintaining strict security boundaries the entire time.

4. Headless Deployment

You don't need a UI to have an Ontology.

• API-First: Deploy your Micro-Ontology as a Headless Agent Host. It runs as a lightweight, scalable API endpoint optimized for machine consumption.
• Omnichannel Reach: Configure hooks for Twilio or SendGrid to allow your workforce to query this ontology and trigger workflows via SMS Text and Email, engaging with the "Brain" directly without ever loading a web page.

The Micro-Ontology Factory turns your fragmentation into a feature. Stop trying to centralize the world. Federation is the future of Enterprise AI.

How It Works

From Database to Enterprise Brain in 4 Steps:

1. Define (App Studio): Use the visual designer to map your SQL data or APIs. You aren't just building screens; you are defining the entities and relationships of your Micro-Ontology.
2. Generate (The Dual Interface): The platform compiles your definition into a live application. It creates a Visible UI for humans and a mirroring Invisible UI (HATEOAS API) for Agents simultaneously.
3. Enforce (The Axiom Engine): Your app deploys with a complete runtime stack—OAuth 2.0, State Machine, and SACR—that enforces business logic and security on every AI interaction.
4. Federate (The Knowledge Mesh): Enable FIM to link multiple apps together. Transform isolated data silos into a Unified Enterprise Ontology where Agents can reason across domains and control business processes securely.