Meet the Company: Kashmir Intelligence

Ahead of the European Refining Technology Conference (ERTC), we caught up with one of our sponsors, Kashmir Intelligence, to give you more insight into their company and their involvement in ERTC 2024.

What are you and your company doing for the industry?

Kashmir Intelligence was founded to deliver new levels of profitability, sustainability and predictability in the oil and gas industry by leveraging untapped data via a new form of edge AI.

Our flagship product, Orbital, is a patented Edge Compute infrastructure layer designed for refinery operations. This innovative technology integrates seamlessly with the ISA-95 control systems framework, either as a standalone Foundation

AI solution or to supercharge industry leaders like Aspen Tech, Honeywell, and AVEVA.

Although new to the market our pilots have demonstrated significant advancements in industry performance, enabling refineries to gain actionable insights and achieve real-time optimisations in areas such as energy efficiency, carbon intensity mapping, and yield optimisation.

The energy sector, historically deprived of top-tier AI solutions, benefits immensely from Orbital. While other industries have experienced remarkable AI-driven improvements, the energy sector has lagged. Orbital leverages the latest advancements in Nvidia’s Edge computing and our patented AI technology to deliver real-time deep learning capabilities, unlocking millions of dollars in value across various operational chains.

What's keeping you up at night (professionally)?

Our main frustration is the use of cloud methodologies for AI deployment in downstream environments. Up until now progress has been slow, expensive and risky from a data security perspective, these ways of working and technologies were really designed for web-based tasks, and have been shoehorned into industrial environments, it’s a shame the industry has had to wait until now for a solution designed specifically for their environments and their use cases.

To give you an idea of why we’re concerned let’s talk about a couple of examples. Firstly, cloud computing severely limits the amount of data utilised in industry models due to data transfer and preparation costs, not to mention the security issues around sending highly sensitive data to the cloud, this often restricts access to just 3% of available data.

We’re missing a unified data layer that understands high (and low) frequency data relationships so as to deliver faster, more accurate, and more reliable inference.

What are you expecting from ERTC?

ERTC is the premier global conference for discussing the latest advancements in refining technology. We are thrilled to participate because it provides the perfect platform to showcase our groundbreaking technology. This year’s agenda highlights decarbonisation and AI as key trends, both of which align perfectly with our mission and capabilities.

We are eager to engage with industry leaders, understand their most pressing challenges, and demonstrate how our technology can address these issues effectively. Our goal is to forge meaningful connections and collaborations that will drive the industry forward, making it more efficient, sustainable, and resilient.

Looking into your crystal ball, what will we be discussing by 2030?

By 2030, the energy industry will be at the forefront of an AI-driven revolution, characterised by unprecedented levels of automation, efficiency, and sustainability. Discussions will center around the widespread adoption of decentralised AI infrastructures, like Orbital, which will be integral to refining operations. These systems will enable real-time optimisation, predictive maintenance, and enhanced safety protocols, all while significantly reducing carbon footprints.

Furthermore, we will see a shift towards more sustainable energy sources, including biofuels, with AI playing a crucial role in integrating and optimising renewable energy within traditional energy frameworks. The industry will also grapple with new regulatory landscapes designed to ensure environmental responsibility and data security. Ultimately, the conversation will focus on how AI and Edge computing have transformed the energy sector into a model of innovation, sustainability, and resilience, setting new standards for other industries to follow.