Skip to main content

Unified Data Models for Global Manufacturing

For Global Manufacturing Enterprises

Bridge ERP, MES, and PLM architectures on one collaborative canvas. Unify plant floor, supply chain, and product entities so engineering teams and AI agents build on shared business truth.

45-minute walkthrough of manufacturing data modeling with our architecture team

Data modeling canvas showing an entity relationship diagram for the manufacturing sales and distribution domain with connected entities like customer, product, and shipment

Proven at Enterprise Scale

Trusted by Leading Industrial Leaders and Regulated Enterprises

Enterprise data teams at global manufacturing leaders and regulated industrial operators rely on Ellie.ai to govern critical operational entities.

UPM logo
Forest & Biomaterials
Vopak logo
Industrial Infrastructure
YIT logo
Industrial Construction

The Industrial Data Dilemma

Manufacturing Data Is Fragmented Across OT, IT, and Global Supply Chains

Plant-floor automation, legacy ERP systems, and supply chain tracking maintain conflicting definitions of materials, equipment, and orders. Disconnected silos stall modern smart factory and AI initiatives.

IT and OT Speak Different Languages

Operational technology on the shop floor (SCADA, MES, historians) and enterprise IT (SAP ERP, PLM, CRM) define assets, batches, and equipment differently. Reconciling telemetry with production costs takes weeks of manual spreadsheet mapping.

Siloed Pipelines Stall Industrial Data Products

When analytics engineers lack semantic manufacturing context, predictive maintenance, yield optimization, and Scope 3 emissions pipelines stall in endless technical rework. Every plant-level schema change breaks downstream reporting.

Industrial AI Agents Lack Governed Context

Generative AI, digital twins, and autonomous planning agents cannot interpret raw PLC or ERP tables without explicit semantic relationships. Without a governed business glossary, AI copilots produce hallucinations instead of actionable plant insights.

The Ellie.ai Solution

One Collaborative Data Canvas for the Entire Manufacturing Enterprise

Ellie.ai unites plant managers, enterprise architects, and data engineers around conceptual, logical, and physical data models with an integrated industrial business glossary.

Screenshot of Legal Arbitration Sample showing an entity relationship diagram on the left and an AI chat interface on the right with a summary table of entity descriptions
Bridge Operational and Enterprise Semantics

Define core manufacturing entities—work centers, bills of materials, batches, and maintenance events—in a shared semantic canvas. Business owners and data modelers agree on definitions before building pipelines.

Connectors screen showing cards for HubSpot, Snowflake, GoogleBigQueryDemo, and AmazonAthena-Sami
Accelerate Smart Factory Data Products

Reverse engineer schemas from Snowflake, Databricks, SAP, or 160+ source systems into standardized logical models. Automate SQL and DDL generation to deliver trusted industrial data products 20–30% faster.

CRM Deal Analytics screen showing an AI assistant providing a context description for the fact_deal entity
Feed Governed Context Directly to AI Agents

Expose your manufacturing business glossary and entity relationships directly to LLMs, digital twins, and agentic workflows via Ellie's open API and MCP Server, ensuring verified, compliant operational intelligence.

From Fragmentation to Governed Architecture

Three Steps to a Governed Manufacturing Data Model

How industrial data teams align plant-floor terminology and enterprise architecture

1

Map High-Impact Manufacturing Domains

Use Ellie's Lumi AI assistant or intuitive visual canvas to model high-priority domains like predictive maintenance, overall equipment effectiveness (OEE), or supply chain visibility with operational stakeholders.

2

Standardize Across ERP, MES & Cloud Stacks

Connect to Snowflake, Fabric, or legacy industrial systems to reverse engineer existing schemas. Map physical tables to conceptual entities and maintain plant-specific sub-glossaries.

3

Deploy and Expose to Agents and Digital Twins

Export version-controlled models as Git YAML or DDL into your transformation stack, and enable AI agents and digital twin systems to query governed context via MCP Server.

Proven Enterprise Impact

Measurable Results for Regulated Enterprise Teams

80%
Reduction in data integration complexity
20–30%
Faster time to market for data products
8X
Increase in business-led modeling effectiveness
10,000+
Data projects in production worldwide

Trusted by Enterprise Data Leaders

“Ellie.ai has been a foundational platform for us. Their open API let us onboard over 700 tables and 25,000 columns from Microsoft Fabric in an afternoon instead of months. The addition of an MCP Server is a game changer. It lets AI agents tap directly into that curated business context, so they can understand how your data is structured and build better data products with a real understanding of what lives where.”
Carlos Hernandez
Managing Partner at Data Foundations Consulting

Seamless Ecosystem Integration

Built to Integrate with Your Modern Data Stack

Ellie connects seamlessly to your cloud warehouses, transformation tools, and governance catalogs without disrupting existing manufacturing workflows.

Snowflake logo
Microsoft Fabric logo
Microsoft Purview logo
dbt logo
Collibra logo

Frequently Asked Questions for Manufacturing Data Teams

Ready to Unify Your Manufacturing Data Architecture?

Schedule a 45-minute walkthrough with our data architects to see how leading global manufacturers design and govern trusted data products in Ellie.

45-minute architectural session tailored to your stack • No software installation required