True Schema Get a free assessment
Platform agnostic Fully automated

Rent the model. Own the context.

Your supply chain already has the data. True Schema turns it into one trusted context layer, then puts prebuilt control towers and agents to work on top. Initial gold layer in 24 hours, full ontology in under two weeks, all inside your own environment.

Get a free assessment See the three phases
Deploys in your environment, on the platform you already run.
Your cloud. Your platform. Your catalog.
Works with
Databricks Snowflake Microsoft Fabric BigQuery Redshift SAP / Oracle ERP On-prem SQL

No forced migration. True Schema adapts to your platform, your ERP and your current maturity.

How True Schema builds a semantic model Data from ERP, WMS, LMS and TMS systems, with conflicting field names, flows into one governed semantic layer: a star schema with shared definitions. That layer builds analytics cubes and an ontology. All three layers feed control towers, BI, analytics, automations and AI agents; the semantic layer feeds them slowly and approximately, while the cube and ontology feed them faster and at higher fidelity. 01 · SOURCES 02 · GOVERNED SEMANTIC LAYER 03 · CUBE 04 · ONTOLOGY ERPorders · items WMSstock · bins · picks LMSlabor · shifts TMSloads · carriers item_no SKU MaterialID One trusted model ✓ GOVERNED FACTOrder linesqty · net_valueon_time · in_full Item Supplier Date Location Customer Carrier item_key supplier_key date_key location_key customer_key carrier_key OTIF = on time AND in full Days of supply = on hand ÷ daily demand PRODUCT LOCATION TIME Governed cubes OTIF · fill rate · cost-to-serve Supplier PO Shipment Order Customer DELAYED one event → every impact 05 · CONSUMED BY semantic layer: slowercube + ontology: faster,higher fidelity Control towersdashboards · alerts BIreports · KPIs Analyticsself-serve · SQL Automationsreplenish · reroute AI agentsagentic workflows How True Schema builds a semantic model Data from ERP, WMS, LMS and TMS flows into one governed semantic layer, a star schema with shared definitions, which builds cubes and an ontology. All three feed control towers, BI, analytics, automations and AI agents: the semantic layer slowly, the cube and ontology faster and at higher fidelity. 01 · SOURCES ERPorders WMSstock LMSlabor TMSloads item_no SKU MaterialID 02 · GOVERNED SEMANTIC LAYEROne trusted model ✓ GOVERNED FACTOrder linesqty · net_valueon_time · in_full Item Supplier Date Location Customer Carrier item_key supplier_key date_key location_key customer_key carrier_key OTIF = on time AND in full Days of supply = on hand ÷ daily demand 03 · CUBE 04 · ONTOLOGY Governed cubes OTIF · fill rate Supplier PO Shipment Order Customer DELAYED one event → every impact 05 · CONSUMED BY semantic layer: slowercube + ontology: faster, higher fidelity Control towersdashboards · alerts BIreports · KPIs Analyticsself-serve · SQL Automationsreplenish · reroute AI agentsagentic workflows

Three phases. One living graph.

  1. 01 · Semantic models≤ 24 hrs

    Every part of your business, from suppliers to orders, gets its own trusted model, built automatically.

    Unlocks: control towers · self-serve analytics

  2. 02 · Analytics cubesBuilds on phase 1

    Those models stack into governed cubes you can slice any way, with one answer for every team.

    Unlocks: end-to-end simulation · cost-to-serve

  3. 03 · Ontologies< 2 weeks

    The layers connect into one graph, so a single event triggers the right action across the whole chain.

    Unlocks: end-to-end automation · intelligent workflows

One data infrastructure for every AI use case, built once in your environment.

SEMANTIC MODEL
Suppliers
SEMANTIC MODEL
Inventory
SEMANTIC MODEL
Shipments
SEMANTIC MODEL
Orders
Supplier delay detected Stock-out risk found Shipment re-routed Customer ETA updated

Four semantic models

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Most teams start with the free assessment. It shows what True Schema already recognizes, with no commitment.

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  • Scan of your current data platform, whatever it is
  • Domains True Schema recognizes
  • Where you stand in 3 phases
  • The first tower you can go live with
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Activate

Custom

Gold layer in 24 hours

  • Semantic models
  • Prebuilt control towers
  • Agents from day one
  • Self-serve analytics on trusted data
Start activation

Scale

Custom

For enterprise-wide rollout

  • Analytics cubes and simulation
  • Full ontology in under 2 weeks
  • End-to-end automation
  • Intelligent workflows
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Four steps, all automated. No 13-week engagement.

The platform does the work at machine speed, and everything it builds stays in your environment.

  1. Connect

    Point True Schema at your data.

    True Schema deploys in your environment and connects to the platform you already run. Nothing moves and nothing gets replatformed.

  2. Map

    The platform maps it for you.

    The platform learns your business automatically. You confirm meaning instead of building it by hand.

  3. Live

    Your gold layer goes live in a day.

    Prebuilt control towers and agents switch on as soon as the initial gold layer lands, in 24 hours or less.

  4. Grow

    Cubes and ontology build on top.

    Simulation, cost-to-serve and end-to-end automation follow, with a full ontology in under two weeks.

Three phases done in under two weeks.

An illustrative path with full data access: the initial gold layer lands within 24 hours, and the full ontology follows in under two weeks.

  1. 0Hr 0
  2. 1Hr 24
  3. 1Day 3
  4. 2Day 5
  5. 2Day 8
  6. 2Day 11
  7. 3Day 14
For the enterprise
Scalable
For the small business
Portable
Control towers ready on day one
9

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layer in 24 hours.

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