SparkCognition

Software : Information Technology : Asset Performance Management

Website | Blog | Video

Austin, Texas, United States

VC-C; Sternhill Associates, Verizon Ventures

We build AI solutions that unearth the insights living within our customers’ data. We’re constantly innovating to create exponential technologies that allow our clients to optimize operations, predict future events, protect their assets, and accelerate their growth. While others speculate and chase hype, we’re motivated by what’s proven, scalable, and impactful. With deep expertise across critical industries, we’re working together with our clients to help solve problems, big and small, that matter most to them.

Assembly Line

🧠 SparkCognition and Shell Announce a Technology Collaboration Aimed at Accelerating the Pace of Exploration Through the Use of Generative AI

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🔖 Topics: Partnership

🏢 Organizations: SparkCognition, Shell


SparkCognition, a global leader in artificial intelligence (AI) software solutions perfected for business, today announced a technology collaboration with Shell to accelerate the pace of imaging and exploration of subsurface structures using generative AI technology. By using advanced AI algorithms to process large amounts of data and automate the analysis, we aim to improve the efficiency and speed of exploration workflows, leading to potentially increased production and higher success rates.

Read more at SparkCognition News

Achieving World-Class Predictive Maintenance with Normal Behavior Modeling

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✍️ Author: Brian Kenneth Swain

🔖 Topics: Predictive Maintenance, Autoencoder, Anomaly Detection

🏢 Organizations: SparkCognition


Central to the normal behavior modeling (NBM) concept is an algorithm known as an autoencoder, shown in Figure 1. Over time, the autoencoder’s input layer ingests a continuous stream of quantitative data from equipment sensors (temperature, pressure, etc.). This data is then fed to a hidden layer (of which there are typically several), where it gets compressed. Numerical weights (a value between 0 and 1) are then applied to each node, with the goal of eventually reproducing the input values at the output layer.

The principal purpose of NBM is to define the normal state of a complex system and then proactively identify instances where the system is operating outside of normal with sufficient advance warning to allow maintenance or repair actions to take place to avoid revenue loss, repair costs, and safety compromises that typically come with such failures.

Read more at SparkCognition Blog

Austin's SparkCognition raises $123 million, tops $1 billion in value

📅 Date:

🔖 Topics: funding event

🏢 Organizations: SparkCognition


SparkCognition has developed machine-learning technology to predict when a customer’s systems might fail or be hacked. The technology works by modeling physical and virtual assets and continuously learning from the data. The company has clients in industries including defense, finance, manufacturing, automotive, telecommunications and energy. Customers include Boeing, Hitachi High-Technologies and Aker BP.

Read more at Austin American-Statesman

How SparkCognition Improved Production Efficiency for a Beverage Manufacturer

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🔖 Topics: machine health, energy consumption

🏭 Vertical: Beverage

🏢 Organizations: SparkCognition


We developed seven new deep learning models to detect anomalies in resource consumption, machine status/health, and overall efficiency. (As always with a Total Plant solution, these models were tailored to the specific data, technical context, and business goals and strategies of the client.)

Once developed, the models were deployed into our AI platform for execution and KPI-driven reporting. Another key new function we delivered: predictive analysis, to anticipate problems before they occur, based on patterns detected in current and historical data, and notify the beverage manufacturer in time to take preventative action.

Finally, the results of the AI-powered analysis were delivered via a configurable dashboard that provides at-a-glance insight into the plant’s efficiency, including new KPIs reflecting water usage, water balance, power consumption, heat generation, and waste levels. This information can also now be streamed whenever, wherever, and to whomever the manufacturer requires, now or in the future.

Read more at SparkCognition

SparkCognition Acquires Industrial Knowledge Management Company Maana, Expanding Fortune Global 100 Portfolio

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🔖 Topics: Acquisition

🏢 Organizations: SparkCognition, Maana


SparkCognition, the world’s leading infrastructure-focused artificial intelligence (AI) company, is pleased to announce it has acquired Maana, a leading digital knowledge platform company. Through this acquisition, SparkCognition gains Maana’s computational knowledge graph technology, its industrial expertise and customers such as Chevron, Shell, Aramco, and Airbus, expanding its Fortune Global 100 footprint with multi-year software agreements. SparkCognition’s AI platform combined with Maana’s digital knowledge technology will accelerate customers’ time to value in adopting AI-driven decision making across the enterprise.

Read more at PR Newswire

SparkCognition and SkyGrid Deploy First AI-Powered Cybersecurity System on Drones

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🏢 Organizations: Boeing, SparkCognition, SkyGrid


SparkCognition, the world’s leading industrial artificial intelligence (AI) company, and SkyGrid, a Boeing, SparkCognition Company, today announced a new collaboration to deploy AI-powered cybersecurity directly on drones, protecting them from zero-day attacks during flight. Equipped with SparkCognition’s DeepArmor® cybersecurity product, SkyGrid is the first airspace management system to enable drone protection powered by AI. This approach provides more advanced airspace security than traditional anti-malware reliant on signatures of known threats.

Read more at PR Newswire

Boeing HorizonX Invests in Artificial Intelligence Leader SparkCognition

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🏢 Organizations: Boeing, SparkCognition, Verizon


Boeing announced it is investing in SparkCognition, an Austin, Texas-based company focused on artificial intelligence and machine learning in the fields of information technology security and industrial operations. It is the latest investment by the Boeing HorizonX venture arm established earlier this year SparkCognition has established itself as a machine learning technology leader, developing a cognitive, data-driven analytics platform for the safety, security and reliability of data technology for customers in energy, oil and gas, manufacturing, finance, aerospace, defense, telecommunications and security.

“SparkCognition is at the forefront of a technological shift in machine learning and artificial intelligence that will revolutionize every aspect of industry. They are leaders in AI, and they are pursuing the types of technologies that are critical to our future products and services,” said Greg Hyslop, Boeing chief technology officer and senior vice president, Engineering, Test & Technology.

Boeing is joining a group of strategic investors led by Verizon Ventures as SparkCognition closes its initial $32 million funding round.

Read more at Boeing Mediaroom