Scope
Scope develops autonomous flight systems and drone-in-a-box infrastructure for industrial and security applications. Its products support surveillance, inspection and remote monitoring through automated drone operations. (Not the communications-security company.)
Market context
Scope is adjacent to inspection robotics because robots, drones and field teams all produce physical-asset evidence that becomes more valuable when it is structured into auditable inspection workflows.
Facts
- Website: https://getscope.ai
- HQ: London, United Kingdom
- Founded: 2022
- Segment: Inspection
- Known funding rounds: 2
Investors
- Entrepreneurs First - Participant - Angel / Individual - 1 funding event - first seen 2026-05-20
- Index Ventures - Lead - Vc - 1 funding event - first seen 2026-05-20
- Susa Ventures - Participant - Vc - 1 funding event - first seen 2026-05-20
- Syndicate 1 - Participant - Unknown - 1 funding event - first seen 2026-05-20
AI inspection workflow layer for asset-heavy sectors
Scope builds an AI workflow platform for industrial inspection teams, helping capture field evidence, structure inspection data and automate reporting for asset-heavy industries.
- Target environment: Industrial inspection teams in energy, aerospace, chemicals, infrastructure and other asset-heavy environments.
- Deployment model: Software platform sold into inspection organizations and operational teams that need structured reporting and audit trails.
- Customer context: Testing, inspection and certification providers plus industrial asset operators.
- Workflow context: Field evidence capture, inspection documentation, report generation and industrial compliance workflows.
- Commercial maturity: Commercial software company with Series A backing and reported deployment across major TIC providers.
- Market position: Industrial AI workflow company adjacent to inspection robotics and physical-asset data.
- Adoption constraints: Adoption depends on integration with inspection standards, auditability, data quality, customer workflows and trust in AI-generated documentation.
- Adjacent context: Inspection robotics, industrial AI, TIC workflows, asset-integrity software and field-service data capture.
- Source confidence: high
AI inspection workflow layer for asset-heavy sectors
- Target environment: Industrial inspection teams in energy, aerospace, chemicals, infrastructure and other asset-heavy environments.
- Deployment model: Software platform sold into inspection organizations and operational teams that need structured reporting and audit trails.
- Customer context: Testing, inspection and certification providers plus industrial asset operators.
- Workflow context: Field evidence capture, inspection documentation, report generation and industrial compliance workflows.
- Commercial maturity: Commercial software company with Series A backing and reported deployment across major TIC providers.
- Market position: Industrial AI workflow company adjacent to inspection robotics and physical-asset data.
- Adoption constraints: Adoption depends on integration with inspection standards, auditability, data quality, customer workflows and trust in AI-generated documentation.
- Adjacent context: Inspection robotics, industrial AI, TIC workflows, asset-integrity software and field-service data capture.
- Source confidence: high
AI inspection workflow layer for asset-heavy sectors
- Target environment: Industrial inspection teams in energy, aerospace, chemicals, infrastructure and other asset-heavy environments.
- Deployment model: Software platform sold into inspection organizations and operational teams that need structured reporting and audit trails.
- Customer context: Testing, inspection and certification providers plus industrial asset operators.
- Workflow context: Field evidence capture, inspection documentation, report generation and industrial compliance workflows.
- Commercial maturity: Commercial software company with Series A backing and reported deployment across major TIC providers.
- Market position: Industrial AI workflow company adjacent to inspection robotics and physical-asset data.
- Adoption constraints: Adoption depends on integration with inspection standards, auditability, data quality, customer workflows and trust in AI-generated documentation.
- Adjacent context: Inspection robotics, industrial AI, TIC workflows, asset-integrity software and field-service data capture.
- Source confidence: high
Events
- 2026-05-20 - Funding - Scope raises $20M Series A for industrial inspection AI workflows - Scope raised $20 million in Series A funding for industrial inspection AI workflows. Index Ventures led the round for AI inspection workflow software. The financing supports operational AI used around inspection and industrial quality processes.
- 2026-05-19 - Funding - Scope raises $20 million in funding led by Index Ventures - Index Ventures led Scope's $20 million funding round announced on May 19, 2026. Scope had reached inspectors at six of the world's ten largest inspection companies and reported ninefold annual recurring revenue growth. The platform converts field evidence int…
- 2024-01-08 - Company Formation - Scope Inspection incorporates in London - Scope Inspection Ltd incorporated on January 8, 2024 under company number 15397270. The entity registered as an active private limited company in England and Wales. Companies House classifies its business activity as business and domestic software development.
Context tags
- Robotic inspection software - Peer Group - Scope software supports industrial inspection data capture and reporting workflows adjacent to robotics inspection.
- Inspection data analytics - Capability - Scope organizes inspection evidence and reporting data for physical assets.
Scope canonical Korthos profile
