When Complex Manufacturing Systems Don't Connect, Your AI Breaks

Give operations, engineering and quality teams AI-ready context across MES, ERP, CAD and quality records, so they can reduce production risk and act with confidence on the floor.

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The Data is There. The Context Isn't.

Manufacturing and engineering teams collect enormous volumes of operational, product and quality data. The problem is that much of it lives across disconnected systems, Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), Quality Management Systems (QMS), documents and plant-level workflows, that are hard to reconcile at speed.

That makes it harder to deploy AI on the factory floor in a way teams can trust. And in manufacturing, incorrect AI outputs don't just waste time. They increase safety risk, halt production lines and trigger recalls.

The Progress^® Data Platform helps manufacturing organizations connect operational data, add shared context and support trusted AI, without asking teams to start over on the systems they run production on today.

"92% of manufacturers say smart manufacturing will be a main driver of competitiveness over the next three years, but only 29% are using AI at the facility or network level."

Deloitte Smart Manufacturing Survey, 2025

Why Companies Trust the Progress
Data Platform

Proof That Operations and Engineering Teams Run Better with Connected Context

ML-CS-boeing-integrating-data-to-enable-digital-twins-650x800

Success Story

Manufacturing

Boeing Integrates Data To Enable Digital Twins

500,000+ databases
Full traceability across 6M+ parts per aircraft

Read Story

Success Story

Manufacturing

Progress Semaphore Speeds Safety Search for Automobile Manufacturer, Breaking Down Data Silos

9.6M vehicles across 35 countries with faster safety issue identification

Read Story

Validated by the Experts, Leading with Outcomes

Progress Named Exemplary in the 2026
ISG Buyers Guide for Data Platforms

Progress Data Platform Ranked #1 and Named a Champion in Metadata Management

Who This Is For

You need clearer visibility across production, quality and supply data without waiting on custom reporting.

Operational Intelligence

Operations leaders in manufacturing need real-time visibility across production, quality and supply chain performance to make confident decisions on the floor. In practice, the information behind those decisions is fragmented across MES, ERP, quality management systems and plant-level reports that were never designed to work together. Teams spend more time reconciling data from different sources than they do analyzing it, and by the time a report is assembled, the window for action may have already closed. A connected data foundation gives operations leaders a unified, current view across departments, lines and shifts, so production decisions are based on a complete operational picture, rather than whichever system was checked last.

You need trusted access to product, parts and engineering information across disconnected sources.

Connected Engineering Context

Engineering systems leaders are responsible for the data infrastructure that product design and engineering teams rely on for configuration management, requirements traceability and design reuse. The reality in most manufacturing environments is that product, parts and configuration data is distributed across CAD tools, PLM systems, specification databases and legacy archives, making it difficult for engineers to answer questions about part compatibility, design history or cross-system impact with confidence. A connected data platform brings engineering knowledge together across these sources, enabling teams to query, trace and reuse product information through a single governed layer, without rebuilding custom integrations every time a new engineering question arises.

You need auditable AI outputs that help teams act faster without losing control or traceability.

Governed AI & Lineage

Quality and compliance leaders are accountable for meeting standards across every production line, facility and supplier relationship, and for proving compliance when regulators, auditors or customers require it. The challenge is that quality data typically lives in its own systems, disconnected from the production and engineering data it needs to be correlated against. When an issue surfaces, tracing it through the supply chain or production history takes longer than it should, increasing exposure with every hour of delay. A governed data platform connects quality, production and supply chain data with full traceability, so audit responses, root cause analyses and corrective actions are supported by clear, auditable evidence from the outset.

You need a platform that can support scale, security and multiple data types across the enterprise.

Multi-Model Data Foundation

Chief Data Officers in manufacturing are building enterprise data strategies within the constraints of brownfield environments, legacy operational technology and production systems that cannot tolerate disruption. The data landscape spans sensor telemetry, IoT streams, engineering documents, quality records and ERP transactions, each with different formats, update frequencies and governance requirements. A modern data platform needs to handle this volume and variety without requiring a wholesale infrastructure replacement. The right foundation supports multiple data types, integrates with existing systems and applies the governed context AI needs to produce results that operational, engineering and quality teams can act on with confidence.

What Manufacturing and Engineering Teams Can Do with the Progress Data Platform

Safety Signals Engineering Decisions Trusted View Turn into Advantage

Catch Safety Signals Earlier,
Act on Them Faster

Surface patterns across complaints, service records and operational signals before they become production or safety events.

How It Works

Connects structured and unstructured data and adds shared context so safety questions are easier to investigate.

Explore

9.6M Major auto manufacturer identifies safety issues more precisely and quickly across 9.6M vehicles

Make Engineering Decisions with Full Product Context

Answer design, configuration and traceability questions with confidence across complex product lines.

How It Works

Makes complex engineering knowledge easier to connect, govern and query across systems.

Explore

500,000+ Boeing manages 500,000+ databases and traces requirements across aircraft with 6M+ parts

Give Operations a Single,
Trusted View of the Plant

Bring operations teams a clearer picture of what's happening across departments, lines and workflows.

How It Works

Creates a reusable foundation for analytics, search and AI across operational data and documents.

10-20% average improvements in production output reported by smart manufacturing adopters

Turn Product and Parts Data into an Advantage, Not a Search Problem

Reduce time spent chasing information across product, material and supply records.

How It Works

Supports connected context so teams act on a fuller picture.

Explore

6M+ Full traceability across 6M+ parts demonstrated in aerospace environments

How the Progress Data Platform Delivers for Manufacturing & Engineering

The Progress Data Platform helps manufacturing and engineering teams work from one trusted foundation across operational data, engineering knowledge and business rules. It connects enterprise data, applies shared context and governance and makes trusted information available to the applications and services your people already use.