Hybrid AI Platform for Flow Assurance Monitoring
At HAI, we build the digital data foundation for robust flow assurance management. By combining real operational data, high-fidelity simulations, and Hybrid AI models, our software suite enables proactive monitoring of flow assurance and integrity risks across offshore and subsea production systems.
Our modular applications deliver specialized insights — from hydrate risk scoring to virtual sensing — providing operators with early warnings, predictive insights, and explainable models to support safe and stable operations.
Our Applications
Each solution below is available through a dedicated web portal, powered by Hybrid AI and built for real-time operational support, as well as data and model management for data science and engineering teams.

Hydrate Risk Monitoring
Hybrid AI model-as-a-service for real-time hydrate blockage risk quantification.

Scaling Risk Monitoring
Hybrid AI models for early scaling detection and proactive maintenance scheduling in pipelines and topside equipment.

Flow Assurance Visualizer
Simulation dataset management enabling visualization of flow assurance variables, efficient post-processing, dataset inspection, augmentation and risk analysis.

Hybrid AI´s PVT software package
Cloud-native thermodynamic package with state-of-art EoS modelling, optimization and physics-informed machine learning capabilities.
The Data Foundation for Hybrid AI
These applications do not work in isolation - they form the building blocks of a data infrastructure for hybrid AI development, ensuring model robustness, explainability and operational confidence across multiple flow assurance domains.