This article covers Vyn, an AI startup, which has raised £22.9m ($30m) in a Series B round co-led by Blume Equity and Morgan Stanley Investment Management’s 1GT climate private equity strategy to fund US expansion and further develop its Agentic Video Intelligence platform for frontline work. The funding is intended to accelerate product development and support utilities, telecoms and retail customers by digitising field operations and improving frontline workflows.
Vyntelligence (Vyn), an AI startup, has raised £22.9m ($30m) in a Series B round co-led by Blume Equity and Morgan Stanley Investment Management’s 1GT climate private equity strategy to fund US expansion and further develop its Agentic Video Intelligence platform for frontline work. The deal highlights continued investor interest in tools that digitise field operations across utilities, telecoms and retail.
Frontline workers carry out vast volumes of manual work that remain poorly digitised. Vyn aims to replace time-consuming photo reports and paper forms with short video capture and AI analysis, promising faster decision-making, reduced site visits and better training. For organisations managing distributed infrastructure, these efficiencies can shorten repair times, reduce emissions from repeat visits and preserve institutional knowledge as experienced workers retire.
The new funding and US push come as utilities and infrastructure sectors in the UK and Europe face large investment cycles and a tight labour market for field technicians. Vyn already says it serves 90% of the UK’s top utilities, telecommunications and retail companies, a client list that includes SUEZ, EDP, Engie, Total Energies, Currys, Openreach, Cadent Gas, UK Power Networks, Northumbrian Water and Severn Trent. These customers represent the kinds of asset-heavy organisations where reducing site visits and speeding service resolution can materially affect cost and carbon.
Vyn’s platform captures short field videos and applies multimodal AI — video, vision and speech — to convert unstructured footage into structured data. The company cites outcomes such as 85% faster deployments and 90% faster customer service resolution, plus emissions and materials savings from avoided repeat visits and reduced rework.
The product proposition rests on a decade of proprietary, user-generated frontline video data. Vyn describes this collection as a data moat that trains its generative and analytical models and feeds supervisory dashboards and back-office systems. Features highlighted include an auditable trail of work, SmartVideoNotes for knowledge capture and tools intended to speed onboarding of newer technicians while extending the productive life of experienced staff through flexible remote support.
Vyn secured £22.9m ($30m) in Series B financing co-led by Blume Equity and Morgan Stanley Investment Management’s 1GT climate private equity strategy. The round is earmarked to accelerate product development and support expansion into the US market, building on the company’s UK and European enterprise deployments.
The round positions Vyn to scale internationally at a moment when investors are increasingly focused on AI systems that deliver measurable operational and environmental improvements across infrastructure sectors.
In the announcement, Eleanor Blagbrough, Co-founding Partner at Blume Equity, said:
Vyntelligence exemplifies the type of inherently impactful business we seek to partner with at Blume, a company delivering both compelling commercial outcomes and measurable environmental benefits. Vyntelligence’s Agentic Video Intelligence platform enables customers to do more with less, improving safety, efficiency, and compliance while significantly reducing carbon emissions from field operations.We are delighted to be partnering with a leading UK AI business.
In the announcement, Jake Van Koevering, Partner at MSIM’s 1GT, said:
We’re thrilled to partner with visionary founders Kapil Singhal and Arti Khanna, who were early to recognise the potential of video- and AI-first intelligence to transform fieldworker productivity and drive meaningful efficiency savings. We look forward to supporting Vyn®’s international and vertical expansion by leveraging Morgan Stanley’s global reach.
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In the announcement, Kapil Singhal, Co-founder and CEO of Vyntelligence, said:
This partnership with Blume Equity and Morgan Stanley Investment Management’s 1GT validates our mission to transform how field work is captured, analysed, and acted upon. With this investment, we will expand our platform capabilities and geographic footprint, including the US, and continue building the world’s most comprehensive frontline work solutions that drive intelligent collaboration and value creation across the entire ecosystem and supply chain.
In the announcement, Arti Khanna, Co-founder of Vyntelligence, said:
Our superpower is not just applying AI to the historically underserved world of physical work, but leveraging over a decade of expertly curated proprietary field video data to fundamentally transform the value of in-field work for our clients. We can deliver unbeatable visibility for customers over their assets, people, and operations, empowering customers with the insights they need to materially improve the efficiency of their operations and the role that in-field workers play for their businesses.
Vyn’s raise sits at the intersection of two broader trends: the rise of AI systems aimed at operational workflows rather than consumer-facing experiences, and growing investor appetite for climate-aligned technologies that cut emissions through efficiency. For the UK AI ecosystem, success stories that translate a strong domestic customer base into US expansion will be watched closely by other founders and investors.
As infrastructure spending ramps up across Europe and North America, tools that reduce site visits, speed repairs and embed institutional knowledge could become standard procurement items for utilities and contractors. Vyn’s path will test how quickly enterprise customers adopt video-first workflows and how proprietary field video datasets translate into sustainable competitive advantage.
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