London-based Vyntelligence announced that it has secured a $30 million Series B investment co-led by Blume Equity and Morgan Stanley Investment Management’s 1GT climate private-equity strategy. The funding will support Vyntelligence’s push into the U.S. market and further development of its video-AI platform for frontline (customer/field) work.
Background on Vyntelligence and its market position
Vyntelligence describes its solution as the “Agentic Video Intelligence Work Platform” (Vyn®) designed for field-based operations, enabling short-video capture, AI-enabled workflow and analytics for deskless workers in utilities, telecoms, retail and infrastructure. Vyntelligence serves a client base that includes SUEZ, EDP, Engie, TotalEnergies, Currys, Openreach, Cadent Gas, UK Power Networks, Northumbrian Water, Severn Trent, among others.
The company earlier raised growth capital from UK venture investor Octopus Ventures in October 2024 to support expansion into the U.S. and further development of generative-AI capabilities. The company also highlights a U.S.-patented core technology (SmartVideoNotes®) and a large proprietary database of user-generated short videos.
Details of the investment and strategic objectives
The new $30 m investment will be allocated to two main priorities:
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Accelerating the company’s geographic footprint in the United States.
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Enhancing its AI capabilities and product roadmap (especially the “Agentic Video Intelligence” platform) to further differentiate in the field-work workflow segment.
The participation of Morgan Stanley’s 1GT climate strategy underlines the investment’s alignment with sustainability and infrastructure-digitisation themes: Vyntelligence positions its platform as enabling fewer field visits, lower carbon miles, reduced re-works and improved worker utilisation.
Technology and product description
The Vyn® platform enables field operatives—whether servicing telecoms, utilities, or retail installs to capture short guided videos rather than fill forms or do lengthy surveys. According to Vyntelligence:
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Their market-differentiator is a “deep data moat” built on a decade of curated short-video data from frontline work.
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Their “Agentic Video Intelligence” system (announced May 2025) features multiple AI “agents” – e.g., Quality Agent, Safety Agent, Job-Admin Agent, Triage Agent, Collaboration Agent – which interpret video, trigger workflows and connect design/maintenance/asset teams.
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Claimed outcomes: 85% faster deployments; 90% faster customer-service resolution; major emissions and materials savings, though these numbers appear in press materials and should be externally verified.
Implications for utilities, telecoms and infrastructure professions
For executives in these sectors, this announcement highlights:
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The growing importance of digitising frontline work (installation, field-service, audit, maintenance) not just back-office systems.
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Video + AI is now gaining investment backing and customer traction in field workflows.
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Sustainability gains, fewer site-visits, remote assurance, reduced carbon miles, are becoming part of the value-proposition.
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Vendors like Vyntelligence may become critical in “deskless workforce” ecosystems: you may need to evaluate how your organisation captures field-work data, how mobile/video can be leveraged, and how remote/AI workflows can boost safety, speed and cost.
Outlook
With the $30 m funding, Vyntelligence is well-capitalised to scale its product and expand into the U.S. over the next 12-24 months. For utilities, telecoms, field-service operations seeking digital transformation, this signals that video-AI for frontline work is moving from pilot to scaling phase.
