Total economic impact of Torch.AI's Nexus platform

An image of the cover page of the The Total Economic Impact of Torch.AI's Nexus Platform.


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Understanding the cost savings and business benefits enabled by the Nexus platform.

We commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study examining the potential return on investment (ROI) enterprises may realize by deploying our Nexus platform. Nexus is an AI-powered data processing platform, which rapidly improves data quality by incorporating cutting edge neural network architectures, some of which are comprised of billions of nodes. The purpose of the study is to provide readers with a framework to evaluate the potential financial impact of Nexus on their organizations.

The key findings from the study are highlighted below. Download the full study to find out more.

Key Client Results

  • 381% Return on investment (ROI)

  • 40% Reduction in manual data preparation time

  • $35.33M Net present value (NPV)

  • $44.61M Benefits present value (over 3 years)

  • $7.5M Reduction in cost of redundant data purchases

  • <6 Months Payback period (investment breakeven)

The Problem Solved

Data is only valuable if an organization can process the relevant information and gather usable intelligence quickly and effectively. In today’s data-driven world, information flows are constantly expanding in volume and complexity, which means that human beings alone cannot accomplish this goal. Organizations need technology that can both scale to their needs and process their data with high speed and efficiency.

Additional Benefits Achieved

  • Decreased data silos across the enterprise

  • Shifted to a data-centric paradigm

  • Reduced risk exposure

What Clients Say

Before, it was like our data came in different languages. Torch.AI has given us the ability to translate those ‘languages’ and provide a shared platform.” Chief, AI and Data Science

“Before Nexus, we essentially had two different systems that were out of sync with one another. Torch.AI solves that problem for us, using data brokerage to ingest the information, decompose it into data objects, tag it, and govern the distribution of it.” Technical Director