Blog Archive

With Semiant a requirement quality check can be performed in any web application. The Vale quality check is now included for free.

June 29 (German) and June 30 (English), 2022

With the rapid development and easy accessibility to powerful artificial intelligence (AI) techniques today, a valid question to ask is if it is feasible to use such techniques to pave the way to reduce the cost and effort in the process of operating Product Line Engineering (PLE). In this post we explore some of the possibilities of such a combination.

The new Holmes Requirements Quality Analysis is a new Semiant skill. It leverages the analysis engine from Qualicen.

Semiant and Qualicen GmbH are engaging in a strategic partnership. Qualicen is a leader in requirements quality analysis.

MBSE helps mastering complexity, but introducing it is a huge undertaking. AI can provide the benefits of MBSE without the team having to learn it.

Learn how Semiant now allows you to merge public and private glossaries with the browser extension for more efficient work.

Integration is a key enabler for making Semiant useful. Please tell us which tools you would like to integrate with.

By the end of this year we will build a solution that supports engineers building complex products that must comply with regulatory requirements.

Dr. Michael Jastram published an extensive analysis of AI in product development in the Cutter Journal. Download your free copy of the full issue.

Semiant provides you with the benefits of MBSE, but without the investment by translating specifications into a machine-readable model.

Requirements are written in natural language, which means that a requirement is a black box to the tool. Semiant changes this with AI.

Automating traceability creation and maintenance supports regulatory compliance activities and thereby reduces risks.

Literature is full of Artificial Intelligence. Will these machines create heaven on earth? Strive to destroy us? Just be indifferent?