Cognitive Integrity Management

Use our software-as-a-service application to quickly identify threats, cut operating costs and prioritize pipeline repairs to reduce risk and revolutionize your integrity management.

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The Cognitive Integrity Management SaaS solution applies machine learning and cloud technology in collaboration with Microsoft to assist pipeline operators to predict pipeline failures, reduce operational costs, and address regulatory compliance requirements. Ultimately, protecting the environment and increasing safety in all our communities.

Integrity Managers

Exert little effort to become the expert around the integrity of your assets – confirm threats detected by your team quickly and efficiently. Finally, your entire integrity management team can be trained on the entire pipeline system.

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Information Officers

Store data within the secure, state-of-the-art Microsoft Cloud. Have full control over how information is shared through the simple click of a button.

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Business Leaders

Make intelligent decisions with little effort - Interactive and 3D visualizations allow you to pinpoint details – do it with confidence.

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Copious amounts of data, miles and miles of pipeline – ingest, normalize and find threats in minutes. Focus on business decisions – tedious data mining is a thing of the past.

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How can we help your integrity management efforts?

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Drag and Drop

Simply drag and drop inline inspection (ILI) tally sheets into Cognitive Integrity Management and accurately ingest and normalize them into a standard alias classification in minutes.

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Get the big picture

Calculate anomaly growth effortlessly across the entire pipeline system, get the big picture – you now have time to analyze beyond thresholds.

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Dive deeper into interactive threats

Unlock the potential to dive deeper into analytics by considering interactive threats rather than single data points along a pipeline.

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Get ahead of the digital transformation

Achieve the goal of management to digitally transform integrity management by leveraging cutting edge machine learning capabilities and stay ahead of the curve.

Cognitive Integrity Management

OneBridge Solutions, Inc. in collaboration with Microsoft, has developed Cognitive Integrity Management using machine learning and cloud technology to assist pipeline operators to predict pipeline failures, reduce operational costs, increase staff efficiency, and address regulatory compliance requirements, to reduce spills and leaks to protect the environment, and increase safety in all our communities.

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Recent Blog Posts

Cognitive Integrity Management Equips Pipeline Operators to Make Optimal Choices

When it comes to identifying pipeline integrity risks, midstream operators today have more sensor technology to choose from than ever. When it’s time to analyze the resulting data, however, operators often fall back to tried and true tools such as Microsoft Excel. This typically involves comparing new and earlier test results on spreadsheets to...

With AI, zero failure is more than a pipe dream

Everyone in our business knows—or ought to know—about the pipeline maintenance crisis that puts billions of dollars, lives, property, and the reputation of midstream oil & gas industry at risk, leading some in the public to call it a “ticking timebomb.” Statistics indicate tens of thousands of miles of pipes decades beyond their predicted...

Cognitive Integrity Management 3.0 General Availability

This week we officially released Cognitive Integrity Management 3.0, (“CIM 3.0”), which was developed under the product codename Polaris. The product team has been working tirelessly with SME’s from our participating pipeline operators during our private preview to ensure the solution applies horizontally across most operators. Starting at the end of May, each week these SME’s provided us operational...

Learn how Cognitive Integrity Management can prevent pipeline failures - pay as you go.

We have helped Fortune 500 companies like you with predicting pipeline failures with the assistance of machine learning. Let us show you how.

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