Partner Details


SparkCognition, Inc.

SparkCognition builds leading artificial intelligence systems to advance the most important interests of society.



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With award-winning machine learning technology, a multinational footprint, and expert teams focused on defense, IIoT, and finance, SparkCognition builds artificial intelligence systems to advance the most important interests of society. Our customers are trusted with protecting and advancing lives, infrastructure, and financial systems across the globe. They turn to SparkCognition to help them analyze complex data, empower decision making, and transform human and industrial productivity. With our leading edge artificial intelligence platforms, our clients can adapt to a rapidly changing digital landscape and accelerate their business strategies. Learn more about SparkCognition’s AI applications and why we’ve been featured in CNBC’s 2017 Disruptor 50, and recognized two years in a row on CB Insights AI 100, by visiting The company's predictive analytics solution, SparkPredict, utilizes big data infrastructure coupled with patented artificial intelligence techniques to understand and find value in data, leading to improvements in downtime, O&M budgets, and asset efficiency.

Partner Type: Independent Software Vendor

Active Locations: Europe, Latin America, Middle East, North America

Industries: Banking & Finance, Food & Beverages, Government, Information Technology, Mining, Metallurgy & Material, Oil & Gas, Power Generation, Transportation

Partner Tier: Registered



4030 W. Braker Lane Suite 450 Suite 450
Austin, Texas 78759
Phone: 512-827-9487



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SparkPredict provides artificial intelligence capabilities to protect the health of machine assets, predict downtime, minimize maintenance costs, and optimize schedules.



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SparkPredict Overview

SparkPredict® enables truly predictive capabilities that can deliver billions of dollars in cost savings and operational efficiency improvements to machine operators. SparkPredict® learns from sensor data, identifies impending failures long before they occur and alerts operators to sub-optimal operation before it can cause any harm. Existing machine condition monitoring systems are good at looking at individual variables and monitoring when each variable breaches its assigned thresholds. Some rely on legacy approaches such as mean time between failures (MTBF) to schedule interventions such as service and replacements. These methods simply aren’t very good at predicting what will happen next in a manner that’s timely enough to make a real difference. SparkPredict® is!


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Machine Learning Technologies Introduce a Step Change in Maintenance and Reliability

Understand how Flowserve, one of the world's largest pump manufacturers, is utilizing Artificial Intelligence to drive value in their business. In this article written by ARC, learn how Industrial Internet of Things technologies such as smart sensors, predictive analytics, and machine learning can be applied to improve the availability, reliability, and performance of industrial assets and enable new business models.


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