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Artificial Intelligence for MBSE

Utilize Artificial Intelligence with Natural Language Processing Project-Wide.
 

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What Is Natural Language Processing

Natural Language Processing (NLP) is a branch of Artificial Intelligence that allows a computer to understand text in a similar way manner as humans.

How Do We Use NLP

We use NLP to increase project quality, improve requirements, maintain parent-child relationships, find errors in diagram structures, and much more. Your team will be able to develop high-quality projects that are easier to verify and validate.

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AI-Powered Quality Management

Auto-check Requirement Quality

The success of a project starts with high-quality requirements. Utilize Natural Language Processing (NLP) to determine if your requirements are Clear, Complete, Consistent, Designed, Traceable, and Verifiable. In a matter of seconds, you'll find every poorly written requirement, i.e. "shall move fast." Innoslate will tell your team to replace "fast" with something measurable and the Test and Evaluation team will appreciate it. 

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Find and Fix Project-wide Errors

Reduce risk and ensure project-wide quality with Intelligence View. Run a project check with over 60 different heuristics spanning all classes. Determine duplicates, find orphans, ensure relationships, and more. You'll easily be able to view and fix issues on the Intelligence View Dashboard. 

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Find Missing Traceability

Reduce errors early in the lifecycle, by ensuring end-to-end traceability. In Traceability Matrix you'll be able to display a relationship to groups of entities through an interactive matrix view. Then find missing or improper traceability between those groups with Traceability Assist and Suspect Assist. 

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Benefits from AI

 

Detect Errors Early

Reduce Overall Risk

Save Time and Money

 

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Ready to Discover How to Implement AI in Your Projects

Talk to an expert about utilizing artificial intelligence in your current or future projects and start reducing risk and saving time.

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