Suppliers United States SparkCognition
SUPPLIER MANAGED
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SparkCognition

United States
Austin
2013
Private
$10-100m
51 - 200
Open website

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.

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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.

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SparkCognition is a provider of Industrial IoT application infrastructure and middleware, analytics and modeling, functional applications, cybersecurity and privacy, and sensors technologies, and also active in the aerospace, chemicals, equipment and machinery, finance and insurance, marine and shipping, oil and gas, and utilities industries.
Technologies
Sensors
Accelerometers
Level Sensors
Pressure Sensors
Temperature Sensors
Vibration Sensors
Analytics & Modeling
Natural Language Processing (NLP)
Big Data Analytics
Machine Learning
Predictive Analytics
Application Infrastructure & Middleware
Data Exchange & Integration
Data Visualization
Cybersecurity & Privacy
Endpoint Security
Functional Applications
Remote Monitoring & Control Systems
Use Cases
Predictive Maintenance
Rapid Prototyping
Root Cause Analysis & Diagnosis
Functions
Maintenance
Industries
Aerospace
Chemicals
Equipment & Machinery
Finance & Insurance
Marine & Shipping
Oil & Gas
Utilities
Services
Cybersecurity Services
SparkCognition’s Technology Stack maps SparkCognition’s participation in the application infrastructure and middleware, analytics and modeling, functional applications, cybersecurity and privacy, and sensors IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies5
Aircraft Predictive Maintenance and Workflow Optimization
Aircraft Predictive Maintenance and Workflow Optimization
First, 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.
Cognitive Analytics for Oil and Gas
Cognitive Analytics for Oil and Gas
Oil 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.
Improving Refinery Safety and Efficiency with AI at the Edge
Historically, Texmark's operations and maintenance teams monitored equipment manually and through wired sensors at a significant cost of dollars and man-hours each year in inspecting equipment on site.Wanting to act quickly and execute on this multi-year plan, Texmark turned to Deloitte to deliver an end-to-end IIoT implementation in late 2017. Over the course of the next two years, Deloitte coordinated the following partners for the project:1. National Instruments to outfit pumps with sensors that collect operational data2. Hewlett Packard Enterprises to enable deployment at the edge3. OSIsoft PI to aggregate the sensor data from the NI sources4. SparkCognition™ to predict impending pump failures5.Flowserve to help develop the model and data flow architecture 6. PTC ThingWorx to create a mobile-supported interface
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