Digital Twin Solutions was born out of a deep sense of responsibility to prevent human tragedy. The Grenfell Tower fire in London, UK (2017) claimed 72 lives unnecessarily—a catastrophe where inadequate foresight and response systems failed residents at the most critical moment.

Our Chief Product Officer and Founder, Andrew Kelly, responded to this event with a radical new approach: combining digital twins, predictive fluid dynamics, and AI to model how fires spread through high-rise buildings, not just in real time, but in Faster Than Real Time (FTRT).

Where most digital twins are reactive—reporting what has already happened—Andrew’s breakthrough was recognizing that effective decisions depend on trusted data. By isolating, validating, and accelerating real-world signals using physics and AI, he demonstrated that systems can produce outputs decision-makers can rely on—even under extreme conditions.

The foundational insight - that AI systems are only as good as the data they act on - now drives DTS's broader mission. PILOT verifies operational state across any AI-automated system: industrial control, autonomous vehicles, robotics, defence, data centres. It is the architectural layer that makes autonomous AI trustworthy. DTS is building the layer that ensures AI always acts on truth.