Architecture AI Consulting and Development Company in Malta

Our computer vision models analyse photographs of buildings to identify and classify deterioration types including cracks, erosion, staining, biological growth, and water damage. The models have been trained on Malta's limestone buildings and heritage sites for specific accuracy.

Yes, our generative AI produces floor plans from text specifications and design parameters, outputting polylines compatible with AutoCAD. This accelerates the conceptual design phase, allowing architects to explore more options in less time.

Our tools output industry-standard formats including DXF, DWG, PNG, and PDF, ensuring compatibility with AutoCAD, Revit, and other architectural software commonly used in practice.

Our models achieve 90%+ accuracy in detecting major deterioration types on Maltese limestone buildings, with performance validated against expert conservation assessments. The system is continuously improved as more data is collected.

Yes, our before-and-after comparison tools automatically analyse site photographs taken at different stages, identifying changes, measuring progress, and flagging deviations from planned designs.

Yes, our LIMAP project demonstrates our collaboration with heritage conservation specialists to develop AI tools specifically for assessing deterioration on Malta's historic buildings and sites.

Focused tools like deterioration detection or plan generation typically take 8-12 weeks. More comprehensive solutions including multiple AI capabilities take 3-6 months.

Yes, our NeuroImageGen technology creates photorealistic renders showing how buildings and developments will look upon completion, helping stakeholders visualise outcomes during planning and approval stages.