Last week marked an exciting milestone for Kausalyze as our CEO and founder, Louis Allen, was in Singapore representing the business as part of the Innovate UK Global Business Innovation Programme (GBIP).
The week was packed with site visits, research centre tours, roundtables and industry events. One thing became very clear: the problems Kausalyze is solving are not local, they’re global.
At Kausalyze, we’re focused on bringing causal AI into the heart of industrial operations. Not just AI that predicts failure, but AI that explains why something is happening and how to prevent it. Traditional predictive tools can generate alerts; Kausalyze provides understanding, helping engineers move quickly from symptom to root cause to corrective action.
What stood out most during the Singapore visit was the level of engagement and genuine curiosity around explainable, engineering-grounded AI.
Across discussions with manufacturers, innovation leaders and technology partners, there was clear validation that industry is moving beyond “black box” analytics. Teams want tools they can trust. They want insight that aligns with physical process understanding. And they want solutions that help them retain and replicate hard-won operational knowledge as experienced engineers retire.
The conversations centred on real operational pain points - downtime, variability, quality losses, troubleshooting delays, safety risk - and how causal reasoning could materially change how those challenges are addressed.
Global process manufacturers are facing rising system complexity, expanding data volumes, tighter operating margins and significant workforce transition - all at once. Prediction alone is no longer sufficient. Understanding cause and effect within interconnected systems is becoming a competitive advantage.
Kausalyze bridges that gap.
By modelling cause-and-effect relationships across industrial processes, our causal AI platform provides a structured framework for diagnosing issues, testing hypotheses and accelerating root cause analysis. The result is faster, more confident decision-making on the plant floor - reducing downtime costs and operational risk while improving overall equipment effectiveness.
As manufacturers continue investing in digital transformation, the shift toward explainable AI in manufacturing is accelerating. The Singapore visit demonstrated that this shift is happening globally.
The momentum coming out of the programme strengthens our international growth strategy and provides a solid foundation for expanding our commercial footprint in Asia.
A big thank you to Innovate UK and the Made Smarter Innovation team for supporting the programme - and to everyone in Singapore who engaged so openly with us.