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Leawood, Kan.
Torch.AI, the leader in artificial intelligence (AI) powered ultra-high speed data processing, today shared the results of a recent Total Economic Impact™ (TEI) study conducted by Forrester Consulting. The study provides an in-depth analysis of the return on investment, cost savings and business benefits available to organizations by deploying Torch.AI’s Nexus™ platform.
As part of the study, Forrester interviewed senior decision makers with experience using the platform. The combination of these interviews, paired with a financial analysis, found that the organization realized financial benefits of $44.61M over three years versus costs of $9.28M, adding up to a net present value (NPV) of $35.33M and an ROI of 381%.
“The best way I can describe it is that we’re undergoing a real paradigm shift with Torch.AI," remarked one of Torch.AI's customers.
“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.”
The study found several key benefits of utilizing the Nexus platform:
“We believe the results from the Forrester study mirror the feedback we’ve consistently received from our customers,”
-Brian Weaver, CEO at Torch.AI
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. This technology obsolesces slow and expensive manual data engineering requirements by automatically extracting, fusing, aggregating, and presenting data in real time, providing quantum leaps in data quality, speed, and ease of use.
Read the full TEI study report to learn more about the benefits associated with the Nexus platform.
Torch is a reasoning infrastructure company.
We design and deploy complete, mission-ready capabilities that transform fragmented, multi- source data into coherent understanding at machine speed.
By building ahead of need and delivering off the shelf, we compress the path from idea to operational impact from years to weeks.
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