Enquiry AI provides instant, photo-based removal quotes for UK firms, turning customer photos into detailed inventories and van recommendations.
Enquiry AI
Enquiry AI provides instant, photo-based removal quotes for UK firms, turning customer photos into detailed inventories and van recommendations.
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What it does
Enquiry AI streamlines the quoting process for UK removal firms by leveraging AI. Customers simply snap photos of each room on their phone, and the platform instantly generates a costed inventory, total volume, and recommended van. This eliminates slow in-home surveys, reduces no-shows, and provides accurate quotes in seconds, helping firms win more leads and improve operational efficiency. The system works on any phone without an app install, making it frictionless for customers.
Who it helps
Primarily targets UK removal firms and movers seeking to modernize their quoting process. It's ideal for businesses looking to reduce survey time, improve quote accuracy, and increase their lead conversion rates.
Why it's interesting
Enquiry AI is interesting for its direct solution to a significant pain point in the removals industry: slow and inaccurate quoting. By using AI for instant photo-based inventories, it offers a clear competitive advantage. The 'no app install' approach for customers lowers friction, while the specific focus on UK firms provides a strong initial market wedge with clear potential for broader expansion.
Card stats
AI-assisted scores estimated from public website information only.
FounderDeck estimate
Medium confidenceFounderDeck estimates Enquiry AI at $750,000 due to its highly polished product, clear painkiller solution for UK removal firms, and effective use of AI for a specific business problem. The platform offers a strong value proposition by significantly improving quoting efficiency and accuracy. While the product clarity and market fit are excellent, the estimate remains at this level as explicit traction, revenue figures, or team details are not publicly available on the website.
Valuation date: 2026-06-05. Estimate generated from public signals.
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