CEEZ 01
Bi-Temporal Context Graph
Query exact entity state and relationships as they existed at the moment an incident or transaction occurred.
HORIZONTAL PLATFORM PRODUCT / 01 · GROUND.CEEZ.AI
Ground: 5-layer semantic intelligence & MCP context navigation.
Ceez Ground is the horizontal semantic layer of the Ceez platform. It connects 58+ enterprise data sources into a live semantic operating model—mapping Sources, Entities, Ontology, Context Graph, and Action Contracts so AI workers and workflows act on verified business meaning.
CEEZ PLATFORM / GROUNDGROUND.CEEZ.AI
5-Layer Semantic-to-Execution Pipeline
Translates raw tables, APIs, and telemetry into typed entities, relationships, and executable MCP tool contracts.
L1 / SOURCES58+ CONNECTORSERP, CRM, ITSM, DBs, DCIM & NMS
L2 / ENTITIESRESOLVE & DEDUPEBi-temporal identity & lineage
L3 / ONTOLOGYBUSINESS MEANINGKPI contracts, hierarchies & SLAs
L4 / CONTEXT GRAPHDEPENDENCY MAPBlast radius & topology traversal
L5 / CONTRACTSACTION SCHEMASPre/post-conditions & RBAC scope
L6 / MCP SERVERGROUND:// TOOLSZero-hallucination agent bindings
Live platform property: Explore Ceez Ground at ground.ceez.ai ↗.
HORIZONTAL PLATFORM PRODUCT · GROUND
GROUND · COMPASS · INSIGHT · CREW · FLOW · INGEST · GOVERN · PROVE · FDE WORKBENCH
THE ROLE OF GROUND IN THE PLATFORM
Turn scattered enterprise schemas into executable meaning.
Without a shared semantic layer, every AI agent and dashboard guesses which table, status code, or topology link is authoritative. Ground eliminates prompt-stuffing by compiling your institutional definitions, entity relationships, and operational rules into a single governed graph.
Every entity and relationship in Ground carries bi-temporal provenance (when a fact became true in the business vs. when it was recorded) and exposes typed Model Context Protocol (MCP) tools to downstream agents.
01
Unify 58+ enterprise sources without brittle ETL duplication
Federate live state and incremental CDC across Snowflake, BigQuery, Databricks, PostgreSQL, SAP, Salesforce, ServiceNow, Jira, NetBox, and operational telemetry.
02
Model canonical entities, hierarchies & KPI contracts
Define authoritative business concepts (Customer, Service, Invoice, Order, Asset, Incident) with versioned metric formulas and ownership rules.
03
Traverse multi-hop operational blast radius in milliseconds
Navigate dependencies across business hierarchies, supply chains, or service topologies before any agent proposes an action.
04
Auto-generate scoped MCP servers (ground:// URI tools)
Expose read queries, graph traversals, and pre-validated action contracts directly to Ceez Crew and FDE Workbench with caller-scoped RBAC.
TECHNICAL CAPABILITIES
Engineered for production reliability, scale, and auditability.
Every capability in Ground operates within your existing enterprise identity, data residency, and governance boundaries.
02
Action Contracts & Prechecks
Bind every writable entity to explicit precondition queries, blast-radius thresholds, and rollback schemas.
03
Zero-Hallucination Entity Linking
Resolve ambiguous natural-language names into deterministic canonical UUIDs before LLM reasoning begins.
04
Schema Drift Resilience
Isolate downstream Crew agents and Flow workflows from upstream ERP, API, or database column changes.
05
Fine-Grained Row & Graph RBAC
Enforce tenant, business-unit, and role permissions at the semantic graph layer so agents never see unauthorized records.
06
Shared Across Use Cases & Vertical Apps
Powers both custom enterprise use cases (Finance, Revenue, Supply Chain) and Ceez's vertically integrated applications.
HOW GROUND POWERS USE CASES
Ground is a composable horizontal building block.
Ground is the semantic foundation of the horizontal Ceez platform—supplying governed context and MCP action contracts to Compass, Insight, Crew, Flow, Govern, Prove, and FDE Workbench. In FDE Workbench, teams combine Ground with Compass, Insight, Crew, Flow, Ingest, Govern, Prove and FDE Workbench to deliver repeatable enterprise use cases without building custom infrastructure glue.
Composable architecture principle: Start with the minimum platform products required to prove your first operational objective, keeping system ownership, model choice, execution authority, and cryptographic evidence explicit at every step.
Evaluate Ground against a live operational objective.
Map how Ground connects to your existing systems, data models, and governance controls in a focused 30-day pilot.