Overview
![]() |
AuguryMachines Talk, We Listen |
United States | |
2011 | |
Private | |
$10-100m | |
201 - 1,000 | |
Open website |
IoT Snapshot
Technology Stack
Case Studies
![]() |
Mueller moves from preventive to predictive maintenance
Recognizing the recent advances in and affordability of predictive maintenance (PdM), the company decided to implement a PdM program in one of its facilities on a trial basis. Anticipating positive results, we hope to gradually pursue wider implementation. |
AI-driven Machine Health Drives Actionable Insights at CPG's North American HQ
Sodexo, the leader in facilities management, is helping manage the operations of the North American headquarters of one of the world’s largest CPG companies. Both the client and Sodexo were looking to transform their respective workplace and modernize workflows. Sodexo was accustomed to practicing route-based maintenance but the lack of insights in the machines they managed hindered them from better understanding the true health of those machines. It wasn’t just about cost saving, it was about leveraging technology to transform how they worked. Sodexo needed a partner that could digitally transform their program, provide continuous insights into the health of their machines, all while bringing them into the new world of Industrial IoT. How could the team optimize asset performance? How could they increase productivity while extending the life of equipment? How could they leverage decades of hands-on experience with technology to accomplish more? |
Podcasts
EP 128 - Unlock your shadow factory, Saar Yoskovitz, CEO, Augury
Friday, May 06, 2022
In this episode, we discuss how manufacturers can save millions in CapEx and excess inventory by unlocking the shadow factory hidden in the operational inefficiencies. We also explore the value and complexity that comes with providing a full stack solution that integrates hardware, software and services. Our guest today is Saar Yoskivitz, CEO of Augury. Augury eliminates downtime and improves productivity with world leading machine health diagnostics. IoT ONE is an IoT focused research and advisory firm. We provide research to enable you to grow in the digital age. Our services include market research, competitor information, customer research, market entry, partner scouting, and innovation programs. For more information, please visit iotone.com Read More
|
Similar Suppliers
![]() |
Litmus Automation
Litmus transforms the way companies enable Industrial IoT, Industry 4.0 and Digital Transformation with one goal in mind - unmatched time-to-value. Our modern edge platform for industry provides instant data connectivity, ready-to-use analytics, and the ability to orchestrate applications at scale. Litmus liberates the data locked in any industrial system to transform critical edge data into actionable intelligence that can power Predictive Maintenance, Machine Learning, and AI. Customers include 10+ Fortune 500 manufacturing companies, while partners like Siemens, HPE, Intel and SNC Lavalin expand the Company’s path to market. For more information visit www.litmus.io. |
![]() |
FogHorn
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT applications. FogHorn’s software platform brings the power of Machine Learning and advanced analytics to the On-Premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, asset performance optimization, operational intelligence and Predictive Maintenance use cases. |
![]() |
Falkonry
Falkonry is the leading provider of predictive operations technology for companies looking to achieve significant improvements in the uptime, performance, quality and safety of their operations. Falkonry's "pre-packaged" Machine Learning system, Falkonry LRS, enables operations teams to discover, explain and predict behaviors that matter, without requiring data scientists. Falkonry LRS complements a users domain expertise with predictive analytics to more deeply understand their operations, and can scale across assets, processes and operations. Our ready-to-use Machine Learning system, called Falkonry LRS, can be deployed and used directly by practitioners such as manufacturing engineers or process engineers, and does not require data scientists. In fact it is like a "data scientist-in-a-box" and can be deployed both On-Premises or in the cloud. |
![]() |
Noodle Analytics
Noodle.ai offers pioneering business solutions in Enterprise Artificial Intelligence, a unique collaboration among business executives, process experts, and Artificial Intelligence technologies (e.g., Machine Learning, predictive data analytics, data science). The company creates and implements these solutions to solve complex business challenges and drive dramatic improvements in customer, product, and enterprise operations. |