Major Update to Monolith AI Software Recommends Validation Test Plan

Monolith, artificial intelligence (AI) software provider to the world’s leading engineering teams, has released a major product update called Next Test Recommender (NTR). This new technology, now available in beta format in the no-code AI platform built for engineering domain experts, gives active recommendations on the validation tests to run during the development of hard-to-model, nonlinear products in automotive, aerospace and industrial applications.

The Monolith Next Test Recommender system recommended the last test - number 129 - should actually be among the first 5 to run and that 60 tests are sufficient to characterise the full performance of the fan, a 53% reduction in testing. Image Credit: Monolith

As the physics of complex products in these industries become more and more intractable to understand, engineers find themselves in a dilemma, either conducting excessive tests to cover all possible operating conditions or running insufficient tests that risk the omission of critical performance parameters. NTR, powered by the company’s proprietary active learning technology, aims to optimise this trade off by providing test engineers with active recommendations, in ranked order, of the most impactful new tests to carry-out for their next batch of tests, to maximise coverage and optimise time and cost.

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