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 Technology Officer, 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 strong as the data they reason over—is the same principle that now drives DTS’s mission in cyber defense for Information Technology (IT) and Operational Technology (OT).

Instead of predicting how a cyber threat will evolve, DTS delivers a solution that validates the data that all other AI-powered cybersecurity tools reason over, unleashing their ability to safely protect client systems at the speed of AI across water systems, power grids, defense networks, and complex IT environments.

Just as in Grenfell, the difference between reacting too late and acting ahead of the threat is the difference between catastrophe and prevention.