Four coupled suites — process simulation, manufacturing & supply chain, asset performance and subsurface science — plus capital project management, with an Industrial AI layer and 11 decarbonisation pathways running across all of them.
Each suite covers an entire process-engineering discipline — and all of them read and write to the same Asset Graph, with sustainability as a first-class citizen in every workflow.
Flowsheeting, thermodynamics, heat exchange, pinch analysis, economics and safety — reimagined AI-first, with native support for CCUS, H₂ and biofuels.
PIMS, unified scheduling, blend optimiser, multivariable APC, soft sensors, historian and batch MES — coordinated by GenAI advisors.
ML agents recognise failure signatures weeks ahead. Multivariate analysis, RAM Monte Carlo, event detection and automatic prescription.
Seismic processing and interpretation, multi-well petrophysics, 3D reservoir modelling and CCS site characterisation — with generative AI.
Not a bolted-on chatbot: an industrial AI layer operating inside the engineering workflows.
First-principles + machine learning, calibrated with plant data.
Build & deploy AI models without code, inside the platform.
Agentic GenAI copilot per domain — from process to subsurface.
Edge → cloud for industrial scale, integrated with Sense.
Critical-path schedules, SPI/CPI per project, cost control, risk analysis and alerts — with predictive models that flag deviations before they turn into budget overruns.
We are developing Build with a small group of heavy-industry operators, prioritising the modules that unlock your capital projects. Bring a real use case; we bring the platform.
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