Kausalyze

Manufacturers lose 11% of revenue to unplanned downtime, and that figure has risen 65% since 2019 despite Industry 4.0 investments. The problem: black-box AI flags issues but can't explain them. Kausalyze combines causal AI with engineering expertise to deliver true root cause analysis for chemicals, energy, and pharmaceutical companies. Kausalyze uses existing process historian data to build causal models that map true cause-and-effect relationships within industrial systems. The company's platform combines deep engineering expertise with causal AI to identify root causes, analyse recurring operational issues, and forecast emerging problems before they cause costly downtime. Engineers receive explainable insights rather than black-box predictions, enabling confident decision-making and targeted interventions.

• Louis Allen

  Founder