SHARE
Facebook X Pinterest WhatsApp

Nutonian, Autodesk Join Forces for IoT Analytics With AI

They’ll combine artificial intelligence with the IoT to allow companies to automatically extract insights from IoT data.

Written By
thumbnail
Sue Walsh
Sue Walsh
Oct 19, 2016

Machine intelligence company Nutonian has entered an OEM relationship with Autodesk, the design software and services giant. Autodesk’s IoT cloud platform, Fusion Connect, will be embedded with Nutonian’s AI modeling engine, Eurequa, going forward.

Eureqa is designed to automatically analyze raw IoT data from connected machines and find the simplest possible predictive models, enabling users within an organization to solve data-driven business problems such as predictive maintenance and product design insights, the company stated. The platform has been used by Rio Tinto to find product manufacturing flaws in gobs of machine data, by NASA to reduce pilot fatalities, and by Performance Genetics to spot elite racehorses.

“IoT data is noisy and complex to analyze, which has limited its impact on business applications to date. We created Eureqa to overcome this challenge,” said Michael Schmidt, Nutonian’s founder and CTO. “The integration of Eureqa and Fusion Connect enables businesses to use IoT data to automatically predict and explain in real time why events happen, like equipment failure or maintenance. With scalable analysis and predictive foresight, businesses can optimize their operations and gain tremendous competitive advantage.”

For example, the company said, manufacturing companies can use Eureqa to create a baseline of how a piece of machinery can be expected to behave under normal conditions. If the sensors on the machine detect any deviation from that norm, Fusion Connect’s predictive analytics engine will generate real-time alerts and explain on the dashboard what the  problem is and what has generated it. These insights will enable customers to identify product flaws and forecast machinery maintenance needs before they result in costly downtime.

“As we continually enhance our cloud capabilities, the logical next step was broadening and deepening our IoT predictive and prescriptive solutions,” said Bryan Kester, director of IoT at Autodesk. “We evaluated the A.I. and machine learning ecosystem and found Nutonian has numerous, significant advantages that enable us to deliver a one-of-a-kind IoT analytics service.”

More on this topic:

Machine learning and artificial intelligence

Advertisement

Predictive maintenance: case studies

thumbnail
Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

Recommended for you...

Open Source Talent Shortage Expected To Increase in 2022
David Curry
Jul 12, 2022
Volvo Puts IoT and AI in the Driver’s Seat for Vehicle Connectivity
Sue Walsh
Nov 6, 2020
Cybersecurity and Digital Trust Companies Team for IoT Threats Detection
Sue Walsh
Oct 12, 2020
Cornell Researchers Create the Country’s First Statewide IoT Network
Sue Walsh
Oct 9, 2020

Featured Resources from Cloud Data Insights

The Manual Migration Trap: Why 70% of Data Warehouse Modernization Projects Exceed Budget or Fail
The Difficult Reality of Implementing Zero Trust Networking
Misbah Rehman
Jan 6, 2026
Cloud Evolution 2026: Strategic Imperatives for Chief Data Officers
Why Network Services Need Automation
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.