Industry
AI for Construction and Real Estate
We build AI for construction and real estate firms: bid estimating, lead scoring, document intelligence and property portals. AI projects from €6,000.
Evicron, an AI and custom software studio based in Barcelona and founded in 2019, applies artificial intelligence to the day-to-day problems of construction and real estate companies. For a Barcelona construction firm we cut bid preparation time by 60% with an AI-assisted estimating system, and we maintain Forcadell’s property portal, which imports more than 2,300 listings from their CRM every day.
The problem
Construction and real estate run on huge volumes of information handled by hand: take-offs copied from one spreadsheet to another, bids that take weeks to go out, permits and contracts scattered across shared folders, and leads that go cold because nobody qualifies them in time. Every one of those bottlenecks has a direct cost — offers that arrive late, overruns detected when they are already expensive to fix, and technical staff spending their hours on admin work.
AI applications in construction and real estate
- AI-assisted bid estimating: the system reads take-offs and line items, suggests prices based on your own project history and produces a complete bid in hours instead of weeks — that is where the 60% reduction above comes from.
- Lead scoring: every enquiry is qualified automatically — budget, urgency, type of project or property — so your sales team calls the most likely deals first.
- Intelligent document management: contracts, permits, certifications and site reports indexed and searchable in plain language, with key dates and clauses extracted automatically.
- Predictive delay analysis: we cross-reference planning, progress certificates and historical data to flag schedule and cost deviations before they happen.
- Property portals: we built Forconnect, Forcadell’s marketplace for home professionals, with GPT-4o natural-language search and more than 250 verified professionals.
None of these pieces forces you to change how you work: they integrate with the ERP or the spreadsheets you already use and learn from your own data.
How we work
Four phases — discovery, design, development, launch and support — in weekly sprints, with a first clickable demo in week two. An AI MVP is typically in production within 4–8 weeks. The initial consultation is free and we quote a fixed price afterwards: applied AI projects start at €6,000. We work with GPT-5, Claude and Gemini, and with open-source models when your data cannot leave your infrastructure.
Why Evicron
Since 2019 we have delivered more than 200 projects across 12 industries. The code is yours from day one — full Git repository, no lock-in — and we reply within 24 hours. You can see how we scope these projects on our applied AI page.
Is there a process eating your team’s hours? Tell us about it — the first consultation is free, and we will tell you honestly whether AI fits your case or not.
Related case studies
Frequently asked questions
How does AI help a construction company? +
It automates the processes that consume the most time: bids, document management and site tracking. Evicron cut bid preparation time by 60% for a Barcelona construction company with an AI-assisted estimating system, and also builds predictive models that flag schedule and cost deviations early.
What is AI-assisted bid estimating? +
It is a system that reads a project's take-offs, suggests prices based on the company's own project history and produces a complete bid in hours instead of weeks. Evicron builds these systems bespoke on models such as GPT-5 or Claude, trained on each construction company's own data.
How much does it cost to apply AI in construction? +
Evicron's applied AI projects start at €6,000, with a fixed quote after a free discovery phase. A working MVP is usually in production within 4–8 weeks. Larger platforms, such as portals or ERPs, start at €12,000.
Can AI predict construction delays? +
Yes. By cross-referencing planning, progress certificates and historical data, schedule and cost deviations can be detected before they materialise. Evicron builds these predictive models on the data the company already generates, without changing its existing tools.
Do you also work with real estate agencies? +
Yes. We maintain Forcadell's trilingual property portal, which imports more than 2,300 listings from their CRM every day, and we built Forconnect, their marketplace for home professionals with GPT-4o natural-language search. Evicron covers everything from property portals to lead scoring.