# Fortune 500 OEM

## The Challenge

A Fortune 500 OEM with globally deployed teams was losing both time and money to inefficient, non-standardized asset data generation practices. Incomplete and inconsistent data made it impossible to scale field operations, move toward a “zero COGS” model, or support strategic AI, digital twin, and IoT initiatives.

## A Closer Look

Even with global scale and deep technical teams, this OEM found its asset data lacked the structure and reliability required to support next-generation tools. EMPEQ addressed the core bottlenecks by:

- Structuring asset data to be AI- and digital twin–ready via 2-way API
- Securing institutional knowledge in the cloud—protecting and accelerating revenue generation

With EMPEQ in place, the company was able to:

- Increase engineers' efficiency and save 25% of labor costs without changing how they work

## The Solution

### Summary:

- **Audit Type**: Controls Scenario Analysis
- **Strategic Outcome**: AI-Ready Data; Path to Zero COGS
- **Company Type**: Global, Publicly-Traded

### Structured Asset Intelligence, Delivered at Global Scale