We turn raw data into decisions. Infrastructure inspection reports, custom datasets, and bespoke AI models — for engineers, researchers, and companies worldwide.
Send photos of any structure. Receive a professional technical report with crack detection, severity classification, and repair priorities within 48 hours. No site visit needed.
Enter service →From €300Custom datasets from the ground — images, videos, and any data from Jordan and Spain. For AI companies, research groups, autonomous vehicle teams, smart city platforms, and anyone who needs real-world data.
Enter service →Custom quoteUpload photos of your rental property and get an instant AI condition score per room. Hosts with a score of 6.0+ can display the AI Verified badge — a QR-linked certification guests can check before they book.
Try free check →Free · Badge €49"We turn photos, data, and engineering challenges into AI solutions — delivered remotely, anywhere in the world."
Dr. Yousef Almashakbeh · PhD Civil Engineering, UGR · Granada, Spain
AI Crack Intelligence is built on a validated deep learning system trained on real infrastructure data from the Middle East and Europe. Every inspection report is reviewed by a PhD Civil Engineer before delivery. Our open-source dataset is live at hu-infrastructure-cracks.org under CC BY 4.0.
Selected by AIR-Andalusia European Digital Innovation Hub. Partner of BIC Euronova. 8 peer-reviewed publications in Scientific Reports, Biomedical Signal Processing and Control, and other international journals.
PhD from Universidad de Granada, specialising in NDT, wave-based methods, and AI applied to structural inspection. Excellent with Honours.
Principal Investigator of a funded AI crack detection project (5,000 JOD) at the Hashemite University, Jordan (2025–2026).
Live bilingual (Arabic/English) platform with 48 real crack records, CC BY 4.0. Available for research worldwide.
Selected by AIR-Andalusia European Digital Innovation Hub for startup support, proof of concept testing (CETEMET), and open innovation programs (PTA Málaga).
Published in Scientific Reports, Biomedical Signal Processing and Control, Physical and Engineering Sciences in Medicine.
Middle East Urban Infrastructure Dataset — 3.69GB of labeled ground-level infrastructure images from Jordan.