SparkCognition is a global leader in cognitive computing analytics. A highly awarded company recognized for cutting-edge technology, SparkCognition develops AI-Powered cyber-physical software for the safety, security, and reliability of IT, OT, and the IoT.The company's technology is capable of harnessing real-time sensor data and learning from it continuously, allowing for more accurate risk mitigation and prevention policies to intervene and avert disasters. SparkCognition???s cognitive software, DeepArmor, is utilized to prevent and detect malware with a high level of accuracy and efficacy by using advanced machine learning and artificial intelligence.
United States 2013 Private < $10m 51 - 200 Open website
- IOT SOLUTIONS
Darwin? is a machine learning product that accelerates data science at scale by automating the building and deployment of models. Darwin provides a productive environment that empowers data scientists with a broad spectrum of experience to quickly prototype use cases and develop, tune, and implement machine learning applications faster than traditional data science methods.
SparkPredict enables truly predictive capabilities that 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 flags sub-optimal operations before they can cause any harm.
DeepArmor? has trained on millions of malicious and benign files and provides industry-leading protection against a broad spectrum of threats. With millions of new malware variants showing up each month, DeepArmor provides signature-free peace of mind.
DeepNLP? is a scalable solution that uses deep learning to deliver human intelligence at machine scale to your documents. DeepNLP intelligently retrieves information with minimal user training, adds structure to documents by extracting key entities, and automates business processes by classifying documents in a cutting-edge and configurable way.
- KEY CUSTOMERS
- CASE STUDIES
SparkCognition: Aircraft Predictive Maintenance and Workflow OptimizationFirst, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.SparkCognition: Cognitive Analytics for Oil and GasOil and gas companies are having problems learning from the data to understand the different operational states and failure modes of assets, and uses this learning to provide adequate warning before failures occur so operators can plan for corrective actions thus optimizing their Operations and Maintenance budgets.SparkCognition: Predicting Rare Failures in Hydro TurbinesUtility companies that operate hydro turbines have a vested interest in performing regular maintenance to prevent unexpected failures. Most maintenance occurs on a scheduled basis where the asset is taken offline, inspected, and repaired proactively if needed. Hydro turbine units are highly reliable, meaning that few examples of unplanned downtime exist. However, these failures are very costly to their operators.Given the sensitivity operators have to unplanned downtime, many have equipped turbines and generators with sensors and platforms to collect valuable performance information in real-time. But because there are so few historical hydro failures to compare against, rich streaming data and legacy statistics-based analysis are not very accurate at predicting true failure events. In fact, they often create more problems by overloading monitoring teams with benign false positives that result in unnecessary downtime to evaluate. This begs the question: Can artificial intelligence help maintenance teams extract more value out of their data?
SparkCognition: SparkCognition DeepArmorDeepArmor is the world’s first fully cognitive anti-malware system.DeepArmor leverages machine learning, natural language processing, and AI algorithms to analyze files and provide signature-free security.DeepArmor:1) Analyzes the DNA of files to identify threats2) Sub-second malware detection3) Signature-free security4) Self-learns and retains knowledge5) Combines structured and unstructured data to research threats6) Reduces false alerts
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