Fred Destin
Kashmir Intelligence
Applied Computing develops Orbital, a foundation model leveraging AI and physics for the energy sector. This platform processes 100% of real-time data to generate operational models rapidly. The system significantly reduces false alarms and improves prediction accuracy for energy operations.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Industrial Automation
- Software Only
Updated 23 months ago
Funding
Raised to date
$5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
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.
Solution
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.
Target Audience
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.
Features
- 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