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Scope

Scope offers an AI-driven platform that automates data extraction from technical inspection documents, populating CMMS and EAM systems. It accelerates the generation of inspection schemas and Written Schemes of Examination (WSEs) while detecting anomalies to improve accuracy and reduce operational costs for the Testing, Inspection, and Certification (TIC) industry.

London, United KingdomFounded 202414300+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Manual data entry from technical documents in industrial inspection processes is time-consuming and prone to human error. This inefficiency delays decision-making, increases operational costs, and can lead to missed critical issues within inspection reports.

Solution

Scope provides an AI-driven inspection software platform designed to automate data extraction from various technical documents, including diagrams, manuals, and paper records. The system ingests this information and automatically populates Computerized Maintenance Management Systems (CMMS) and Enterprise Asset Management (EAM) systems. By leveraging historical inspection data and AI models, Scope accelerates the generation of inspection schemas and Written Schemes of Examination (WSEs), enabling faster and more confident decision-making. The platform also incorporates advanced error detection to identify anomalies and historical mistakes, thereby reducing the risk of major incident hazards and improving overall inspection accuracy.

Target Audience

The primary customers are organizations within the Testing, Inspection, and Certification (TIC) industry that require efficient and accurate processing of technical inspection data.

Features

  • AI-powered data extraction from structured and semi-structured technical documents (e.g., P&IDs, ASME forms, inspection drawings).
  • Automated data population into CMMS and EAM systems via webhooks or pre-built APIs.
  • Module for generating inspection schemas and WSEs using historical data and relevant plant information.
  • Anomaly detection and historical error identification within inspection reports using AI and a proprietary database.
  • End-to-end industrial inspection time reduction by an average of 2.2x.
  • Integration capabilities with existing enterprise systems.
  • Native AI platform specifically built for the Testing, Inspection, and Certification (TIC) sector.
This profile is AI-generated and may contain inaccuracies.