Canonical Pipeline
Maps selected source content and metadata into deterministic evidence objects while retaining source identity, record keys, time and version.
TECHNICAL ARCHITECTURE
The deterministic evidence layer around probabilistic AI.
Axiomyx keeps persistent identity, structure, relationships and provenance outside the reasoning model. Proprietary ZCM mathematics and geometry-based technology make the architecture more than a generic index or search layer.
FIVE-COMPONENT STACK
Canonical Pipeline → Geometry Core → Storage Engine → Federated Index → Graph Provenance
Each component has a distinct job. Together they turn selected source material into persistent, source-linked context that an authorised agent can use without making the model itself the system of record.
Geometry Core
Uses proprietary ZCM mathematics and geometry-based technology to create reproducible structural signatures and positions outside the AI model.
Storage Engine
Persists derived objects, indexes, read models and provenance under declared customer storage, access, backup and retention controls.
Federated Index
Relates authorised evidence across separate sources while preserving source-system authority and explicit integration boundaries.
Graph Provenance
Records source, transformation, version and relationship edges so the evidence path supplied to an agent can be inspected and reconstructed.
The technology is patent pending across ZCM, geometry and storage application tracks. No granted-patent or universal competitive-performance claim is made here.
THE COMPLETE PROCESSING PATH
Sovereignty depends on every boundary in the route.
Originals can remain in their authoritative systems, but authorised source access, derived evidence, model inference and operational logs all need an explicit control decision. Stateless inference alone does not establish data sovereignty.
Authorised APIs
Source credentials, network paths and access logs meet customer requirements.
Selected evidence
Only agreed records, files and fields cross the source boundary.
Persistent context
Derived text, objects, indexes, read models and provenance have declared storage and retention.
AI inference
The selected model endpoint and evidence sent to it operate inside the approved processing arrangement.
Review and logs
Outputs, human feedback and operational logs follow customer access and lifecycle rules.
MODEL AND INTEGRATION BOUNDARIES
Your data platform is your choice.
Axiomyx works with your existing systems through authorised APIs. We build the integration needed. A parser or connector handles source-specific access and mapping; the five-component stack handles persistent evidence after selected information reaches the canonical contract.
Authoritative systems → authorised source access → canonical evidence → ZCM geometry → customer-controlled persistence and federation → provenance-preserving agent context
Snowflake and Databricks can be optional sources when they are already part of the customer estate. They are not Axiomyx prerequisites or positioned as inferior alternatives. Source APIs and AI inference providers must meet the customer's infrastructure, jurisdiction, access and retention requirements.
The current Connect preview uses external OpenAI processing. Customer-contained inference requires implementation and qualification for the selected environment. The architecture does not imply that universal live federation or zero data movement is already implemented.