DeepREXT

Intelligent digital engineering solution that automatically extracts, classifies and analyses requirements coming from raw documents and existing requirements databases.

CONTEXT & ISSUES

A key stage in the life cycle of industrial projects, particularly in the case of nuclear power plants, is to take into account the applicable normative and regulatory reference framework via project and system requirements. In other words, the efficient translation of existing generic documentation into a project-specific requirements framework.

This stage is complex, as it requires the involvement of several professions and experts, time-consuming, as the applicable documents are often dense and diverse, and above all crucial, as failure to take into account the expectations of keholders can result in very significant additional costs and delays.

The solution

DeepREXT enables the automation of requirements management via algorithms based on the following elements:

  • Creation of a centralised database for the documents to be taken into account
  • Automatic recognition – after calibration – of the characteristic formulation patterns of a requirement-carrying text element with the help of AI models
  • Automatic classification, rationalisation and comparison of requirements based on deduced elements / project (equipment, activity, etc.)
  • Search and export tools to interface with an existing digital ecosystem.

Compared to its competitors, DeepREXT requires almost no human intervention to extract, classify and analyse requirements. DeepREXT’s algorithms use existing data to derive thousands of rules.

Use case

  • Adaptation of a product to a normative and regulatory context
  • Digitalisation, transformation, standardisation, centralisation and sharing of engineering requirements data
  • Tooling and concrete implementation of systems engineering
  • Management of industrial assets throughout their life cycle

Client benefits

  • Reduction of the time needed to process applicable documentation
  • Centralisation of technical data allowing quick access to information
  • Better control of projects in terms of deadlines, risks and costs
  • Better traceability of engineering choices
  • Optimisation of impact analysis

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