The Hickman, London Achieving the world's first SmartScore Platinum rating

About The Hickman

The Hickman is a 78,000 sq ft Grade A commercial office building in Whitechapel, East London, developed by Great Portland Estates (GPE). Designed to be one of the smartest and most sustainable office buildings in the UK, it set out to achieve the world's first SmartScore Platinum certification from WiredScore.

Setting a New Standard

GPE's vision for The Hickman went beyond simply constructing a modern office building. They wanted to create a blueprint for how commercial real estate should operate in a data-driven world. Every aspect of the building's performance needed to be measurable, optimisable and transparent.

This required a technology platform that could integrate dozens of building systems, from HVAC and lighting to access control and energy metering, into a coherent, actionable whole.

The Digital Golden Thread

Twinview was selected to provide the building's intelligence layer, creating what GPE calls the "Digital Golden Thread", a continuous, connected stream of data from every building system. Key elements include:

• Over 800 IoT sensors monitoring environmental conditions, occupancy, and energy usage
• Real-time performance dashboards for building managers and tenants
• Predictive analytics for energy optimisation and maintenance planning
• Tenant-facing insights that enhance the workplace experience

SmartScore Platinum Achievement

The combination of Twinview's platform with GPE's forward-thinking approach earned The Hickman the world's first SmartScore Platinum rating from WiredScore. This certification recognises the building as a global leader in smart building technology, setting a new benchmark for the commercial real estate industry.

The achievement demonstrates that intelligent building management isn't just about operational efficiency, it's a competitive advantage that attracts premium tenants and drives long-term asset value.

Ongoing Optimisation

With Twinview continuously collecting and analysing data, The Hickman's performance improves over time. Machine learning models identify patterns in energy consumption, occupancy and system behaviour, enabling ever-more precise optimisation and forecasting.