Scope

๐Ÿ“‚ Artificial Intelligence๐Ÿ“‚ Software Enterprise๐Ÿ“‚ Hardware & Deep Tech๐Ÿ—“๏ธ Founded: 2024

London-based startup building an AI platform for testing, inspection and certification, helping industrial inspectors capture data, retrieve context and generate reports.

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Podcast Episode

๐ŸŽ™๏ธ Deep Dive

Daily News โ€“ May 25, 2026

Listen to the episode

About Scope

Scope develops an AI platform for industrial inspection workflows in the TIC sector: testing, inspection and certification. Its solution enables inspectors to record field evidence through audio, video or notes, retrieve historical context, fill forms and generate reports. The โ‚ฌ17.2M round led by Index Ventures signals market interest in AI applied to critical, regulated industrial workflows.

The Story

Founded in 2024 by Jonathan Low and Jakob Cassiman, Scope was created to address operational inefficiencies in industrial inspection.

How Scope works

Business Model

B2B SaaS for inspection companies, industrial operators and TIC businesses.

Revenue Model

Enterprise SaaS subscription; pricing details not verified.

Products & Services

Key Products

  • AI inspection workflow platform
  • Field evidence capture
  • Automated report generation
  • Inspection context retrieval

Core Use Cases

  • Industrial inspections
  • Testing, inspection and certification workflows
  • Critical asset inspection
  • Automated reporting
  • Field documentation

Market & Clients

Key Customers

Inspection companies and industrial operators; the company states that inspectors from 6 of the top 10 global inspection companies use the platform.

How Scope competes

Competitors

Traditional TIC softwareGeneric field service management toolsIndustrial documentation platforms

Competitive Advantages

  • Vertical focus on TIC workflows
  • AI-generated reports from field evidence
  • Historical context retrieval
  • Strong investor backing from Index Ventures

How Scope grows

Growth Strategy

Grow the London team and accelerate adoption among leading inspection companies globally.

Distribution Model

Enterprise sales to TIC companies and industrial operators.

Moat (Defensibility)

Vertical workflow depth, industrial context data and adoption by inspection teams in critical sectors.

Regulatory Context

Relevant to regulated industrial inspection, certification, safety and audit workflows.

Key Risks

  • Long enterprise sales cycles
  • Need for trust in safety-critical workflows
  • Integration with existing inspection and compliance systems

Strategic Insights

  • Industrial AI works when it reduces administrative friction without replacing field expertise.
  • Every inspection can become structured data for predictive maintenance and asset management.
  • Regulated sectors reward tools that improve traceability, quality and auditability.

Funding & Investors

Funding Rounds

  • 2026 - Seed / early-stage funding: โ‚ฌ17.2M / $20M
    Lead: Index Ventures

Key Investors

Index VenturesSusa VenturesEntrepreneurs FirstSyndicate 1

Founding Team

Founders

Jonathan LowCo-founder & CEO
Jakob CassimanCo-founder & CTO

Key Executives

  • Jonathan Low - CEO

Key Metrics

Fundingโ‚ฌ17.2M / $20M (2026)
ARR growth9x since launch in July 2025 (2026)
Pilot conversion100% (2026)

Lessons from Scope

  • In difficult B2B markets, start from the workflow that consumes expert time.
  • Do not sell generic AI: sell measurable operating capacity.
  • Historical data and industrial context can become a moat.

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Sources

๐ŸŽ™๏ธ Scalable Podcast โ€” European startup stories ยท ๐Ÿ‡ฎ๐Ÿ‡น in Italian
Spotify ๐ŸŽง Apple