Inspectioneering

Scope

Inspection software inspectors enjoy

London, England, United Kingdom • http://getscope.ai

Overview

Scope provides AI-native inspection software built specifically for the testing, inspection, and certification (TIC) industry. The platform automates data capture, standardises reporting, and speeds up risk-based inspection (RBI) workflows. This helps inspectors and engineers complete more work, avoid errors, and make faster, better decisions.

Scope is trusted by some of the world’s top inspection providers. Clients have seen 5x faster RBI onboarding, saved over 50 hours per inspector each month, and increased revenue by up to 16 percent thanks to more efficient reporting. By replacing manual tools with mobile apps and AI-powered data systems, Scope cuts inspection timelines from days to minutes.

The system is modular and designed for real inspection environments. It pulls data from PDFs, P&IDs, and past reports, supports offline mobile use, flags anomalies, and can generate written schemes of examination (WSE). It also connects directly to CMMS and EAM systems, removing the need for manual data entry and reducing reporting costs.

Whether you’re managing inspections at a single facility or across global operations, Scope helps teams work faster, improve consistency, and scale without growing headcount.

Address

34 Tavistock St, London WC2E 7PB, UK
London, England WC2E 7PB United Kingdom

Website: http://getscope.ai
Phone: +44 7848 690853

Learn More

Never Enter Data Manually Again

Our system automatically extracts relevant data from technical asset diagrams, maintenance manuals, and even paper trails to automatically fill out your CMMS and EAM systems.

Make Better Decisions, Faster

Empower inspection decision making through the Scope AI research module, that allows you to generate inspection schemas and WSEs from historical inspection results and relevant plant information.

Find Historical Mistakes Immediately

When consolidating or starting a new project, our tool can scan inputted data for anomalies or historical errors. We use AI and our own database to find likely mistakes and highlight it at the point of entry, allowing for quantitative calculations to proceed without mistake.