Downstream operations in industries like oil, gas, and petrochemicals often suffer from inefficient data utilization, leading to suboptimal performance, increased downtime, and high operational costs. Traditional methods struggle to leverage the vast amounts of data available, resulting in delayed insights and inaccurate process modeling. High rates of false alarms and reliance on limited data samples further exacerbate these challenges.

Kashmir Intelligence offers Orbital, an edge-based foundation model designed to unify and analyze real-time data from Level 2 and above in downstream environments. Orbital enables rapid process modeling, delivering insights in seconds compared to the months required by conventional systems. By utilizing 100% of real-time data, Orbital significantly reduces false alarms and optimizes operational models for various metrics. The solution integrates seamlessly with existing infrastructure, ensuring data security and minimizing disruption.

Edge-based architecture for real-time data processing and analysis

Foundation model designed specifically for downstream operations

Integration layer for unifying data from disparate sources

Advanced deep learning algorithms for accurate process modeling and prediction

Real-time data usage, enabling optimization for any metric

Rapid model creation, reducing the time from weeks/months to minutes

Secure data handling, ensuring data never leaves existing infrastructure

The primary target audience includes companies in the refining, petrochemical, LNG, and upstream oil and gas sectors seeking to improve operational efficiency, reduce costs, and enhance decision-making through advanced AI-powered data analysis.

Kashmir Intelligence generates revenue through software licensing and subscription fees for access to the Orbital platform and its associated features.