machine learning and genai

Smarter systems. Faster insights.

We use machine learning and generative AI to build models that learn from data: predicting behaviour, accelerating simulation, and optimising performance.

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Why machine learning and GenAI matters

Traditional simulation and testing can be time-intensive. Machine learning and GenAI introduce intelligent shortcuts: models that evolve as they learn, cutting time-to-insight without compromising accuracy.

How we build models that learn, predict, and optimise

Xi’s engineers develop surrogate models and hybrid AI frameworks that mimic physical systems. We train models on validated datasets to create accurate predictors of system performance. This allows clients to explore thousands of design scenarios at a fraction of the cost.

Training ML models on physics-rich engineering datasets
Reducing simulation time using AI-accelerated surrogate models
Developing GenAI tools that understand engineering context
Continuous model refinement using real-world measurement data

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What you get when you work with Xi

Speed

Run simulations up to 100x faster.

Adaptability

Models that update as systems evolve.

Scalability

Apply insights across designs, assets, and industries.

Our expertise in action

See how Xi applies machine learning and AI to real engineering problems with clear, usable results.

Xi Engineering Consultants combines machine learning with deep domain knowledge so models reflect real physics, not just patterns in data. These case studies show how we use AI to spot anomalies earlier, predict performance and guide design decisions, all in a way that engineers, managers and regulators can understand and trust.