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In a complex facility, teams make costly decisions under time pressure, and the consequences only become visible afterwards.
Aleph Omega™'s AI agent learns to build physics-based models of your plant, calibrates them to your plant's own behaviour, and uses them for workflows your engineers define, such as optimisation, scenario analysis and anomaly detection. Your organisation deploys those workflows across every site, so a specialist's expertise is available everywhere.
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Aleph Aero™'s AI agent learns to build a physics-based model of your airport and uses it to predict operational disruption before it develops and to recommend recovery actions across airside, ground and terminal operations. Your planners accept or reject every recommendation.
Explore Aviation →Three properties separate a recommendation your team can act on from a dashboard your team has to interpret.
Aleph creates a working physics-based model of your facility from documentation and operational data that your organisation already holds. Aleph builds these models in hours instead of months, and no new instrumentation is required.
Aleph monitors each model against live data and maintains its accuracy as operating conditions change, so a specialist does not have to rebuild it.
Our AI agent learns inside the physics-based model, so it can handle situations that have never occurred in your historical data.
Our AI agent tests each option inside the model before anyone commits to a decision, so your team knows the consequence in advance.
Our AI agent recommends each action and explains the reasoning that produced it, and your expert decides which recommendations to implement. Our AI agent learns from the decisions your team makes.
Your engineers and planners ask our AI agent questions and request explanations in plain language. Specialist training and rule set reconfiguration are not required.
Book a call with our team and bring a real operational problem.