Our Work

Façade AI had the pleasure of completing another project with Darren Mills and the JLL team at a prestigious site in Sunbury.

The programme involved full façade-envelope inspections across 10 large buildings, with all on-site data capture completed over just 2.5 weekends to minimise disruption to the operational site.

Following the initial consultation, Façade AI managed the complete inspection process, including CAA permissions, RAMS, flight planning and spotter coordination, ensuring the programme was delivered safely and within the client's required turnaround dates.

High-resolution façade data was captured by experienced commercial drone partners before being processed through Façade AI's proprietary inspection technology, built specifically to understand building façades.

The resulting inspection data provided the client with a detailed understanding of façade condition across the portfolio, giving the JLL team the information required to support planned preventative maintenance (PPM), prioritise remedial works and make more informed long-term asset management decisions.

The project demonstrated how large, multi-building estates can be inspected efficiently within a compressed programme while still providing detailed, actionable façade intelligence.

The client was extremely pleased with both the delivery of the programme and the quality of the information provided.

Façade AI had the pleasure of supporting CBRE with a comprehensive façade inspection of Tower 42, one of the most recognisable high-rise buildings in the City of London.

Due to the scale, height and complexity of the building, obtaining comprehensive façade data using traditional access methods would typically require significant planning, access equipment and time on site.

Using experienced commercial drone partners for data capture, high-resolution imagery was collected across the visible façade over a three-day programme. Flights were undertaken during carefully planned early-morning windows to minimise disruption within the surrounding City environment.

The captured imagery was then processed through Façade AI's proprietary software, purpose-built specifically for façade inspections and trained on more than 30 years of specialist building fault data.

Our technology analysed the imagery across 20+ façade fault categories, with identified faults mapped directly onto an interactive 3D digital model of Tower 42. Findings were categorised by type and severity, providing the property team with a clear and easily navigable record of the condition of the building envelope.

The completed dataset gives the client a detailed digital baseline of the façade, helping support future remedial works, planned preventative maintenance and year-on-year condition comparison.

Following review of the inspection data and platform, the project developed into a multi-year programme, allowing the condition of the façade to be monitored consistently over time.

Façade AI successfully completed an advanced façade inspection of Heron Tower, one of the City of London's most prominent and architecturally complex high-rise buildings.

The project required detailed imagery to be captured across the building envelope, including areas that can be challenging, time-consuming and costly to assess using conventional manual access methods.

Experienced commercial drone partners were used to capture high-resolution imagery of the visible façade, enabling extensive building data to be collected efficiently while reducing the requirement for personnel to work at height.

Once captured, the imagery was processed and analysed using Façade AI's proprietary façade intelligence platform.

Unlike generic image-recognition tools, our technology has been purpose-built specifically for building façades and trained on more than 30 years of specialist fault data. Millions of data points and images can be assessed from multiple angles to identify and categorise visible façade faults.

The Heron Tower inspection incorporated analysis across more than 20 fault categories, including glazing, cladding, stonework, corrosion, mechanical fixings and deterioration of gasket and mastic systems.

Identified faults were mapped directly onto an interactive 3D digital model of the building and categorised according to severity, allowing the property team to quickly understand where issues were located and prioritise areas requiring further attention.

The Minster Building, one of London's distinctive commercial properties, presented a significant challenge for traditional façade inspections.

With no Building Maintenance Units (BMUs) or permanent external access systems, previous inspections relied on technicians abseiling down the building. This approach required extensive working at height, involved complex access arrangements and limited the level of detailed façade information available to the building management team.

The client required a safer, more comprehensive and efficient solution that would provide greater visibility of the building's condition and support long-term Planned Preventative Maintenance (PPM).