AIQ claims its energy AI has a global edge, a point underscored by its chief executive Dennis Jol. The firm, based in Abu Dhabi, has run models inside the operations of ADNOC – the emirate’s national oil company that exports energy worldwide – for several years. By drawing on the oil giant’s own data, AIQ says the platform gains a practical advantage that generic datasets cannot match.
Jol explained that the real‑world data and infrastructure give the AI system a level of fidelity that is hard to achieve elsewhere. He noted that the energy sector poses unique challenges for artificial intelligence because live operations demand high reliability and, above all, trust.
Embedding its technology directly within ADNOC’s workflow allows AIQ to test and refine performance under actual conditions, a process he believes will help the company expand into global energy markets.
The interview, aired on CNBC’s "Managing Middle East" with Dan Murphy, delved into why scaling AI in the energy arena is difficult.
Jol highlighted that many AI solutions falter when moved from laboratory settings to the field, where safety and reliability are essential.
By leveraging ADNOC’s extensive historical and operational data, AIQ can train models to deliver actionable insights to operators.
Trust, according to Jol, is the cornerstone of any technology deployment in live energy environments.
He argued that a proven track record inside ADNOC’s own systems demonstrates the AI’s reliability.
This credibility, he said, is essential when the firm looks beyond the UAE to pitch its solutions to international energy players.
While the discussion focused on the technical edge, it also hinted at broader ambitions.
AIQ’s positioning of its AI as a globally competitive offering suggests a strategic move to expand into international energy markets.
The company’s confidence stems from the depth of its data partnership with ADNOC and the years of model deployment that have refined its algorithms.
Overall, the conversation painted a picture of a firm that has turned a domestic data asset into a launchpad for worldwide expansion.
By marrying AI expertise with the operational realities of a major oil producer, AIQ aims to set a benchmark for trustworthy, scalable energy AI solutions on the global stage.
Frequently asked questions
What advantage does AIQ claim its energy AI has over generic AI platforms?AIQ says its energy AI gains a practical advantage by being built on years of ADNOC’s real‑world operational data, providing fidelity and reliability that generic datasets cannot match.
How does AIQ use ADNOC data to improve its AI models?AIQ draws on ADNOC’s extensive historical and operational data, training models within the oil giant’s workflow to test and refine performance under actual conditions, enhancing accuracy and trustworthiness.
Why is trust important for AI in the energy sector according to AIQ?Jol emphasizes that safety and reliability are critical in live energy operations, making proven performance essential for any AI deployment.
Who discussed AIQ’s energy AI platform on CNBC’s Managing Middle East?The platform was discussed by AIQ’s chief executive Dennis Jol during an interview on CNBC’s “Managing Middle East” with Dan Murphy.
Is AIQ planning to expand its AI solutions beyond the UAE?Yes, AIQ aims to leverage its proven AI platform, built on ADNOC data, to offer solutions to international energy players.
