Financials

Estimates*

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Revenues, earnings & profits over time
USD2018201920222023
Revenues4.8m6.5m1.3m1.3m
% growth-35 %--
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DateInvestorsAmountRound
-

N/A

-
*

£825k

Seed
*

£6.5m

Series A

$3.2m

Seed

£300k

Angel
*
N/A

£440k

Seed
Total Funding€17.1m

Recent News about Verv

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More about Vervinfo icon
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Verv Energy is a forward-thinking startup specializing in smart fault detection technology for home appliances. The company operates in the burgeoning market of smart, sustainable home appliances, catering primarily to manufacturers and end-users who prioritize efficiency and sustainability. Verv Energy's core offering is its state-of-the-art predictive maintenance technology, which uses advanced AI algorithms to monitor and diagnose appliance performance. This technology captures detailed energy signatures to detect anomalies, identify issues at the component level, and notify manufacturers and engineers for timely intervention.

The business model of Verv Energy revolves around providing a subscription-based service to appliance manufacturers. By integrating Verv's technology into their products, manufacturers can offer enhanced customer experiences through quicker and more efficient diagnostics, leading to extended product lifespans and reduced downtime. This not only lowers environmental impact by reducing waste but also improves energy efficiency and prepares appliances for future Demand Side Response (DSR) capabilities.

Verv Energy makes money by charging manufacturers for the integration of its technology and ongoing diagnostic services. This creates a recurring revenue stream while also reducing costs for manufacturers through streamlined maintenance, improved first-time fix rates, and reduced call center time due to remote diagnostics.

In summary, Verv Energy is revolutionizing the home appliance industry with its smart fault detection and predictive maintenance technology, offering significant benefits in terms of efficiency, sustainability, and customer satisfaction.

Keywords: smart appliances, fault detection, predictive maintenance, AI algorithms, energy efficiency, sustainability, home appliances, manufacturers, diagnostics, reduced downtime.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.