Abu Dhabi exports energy to the world. Now AIQ wants to export its energy AI

Abu Dhabi’s AIQ says real-world energy AI experience gives it an advantage in global expansion.

Abu Dhabi-based artificial intelligence company AIQ believes years of deploying AI in live oil and gas operations have given it a significant edge over competitors as it looks to expand beyond the UAE into major energy-producing regions around the world.

AIQ Chief Executive Dennis Jol said the company’s strength lies not only in its AI models but also in the vast amount of operational knowledge and industrial data gathered through years of working with ADNOC, one of the world’s largest energy companies. AIQ’s systems have been tested in real production environments rather than controlled laboratory settings, making them better suited for complex industrial operations.

Jol explained that building AI for the energy industry is fundamentally different from developing consumer AI tools because energy operations involve expensive assets, hazardous environments and mission-critical decisions where accuracy and reliability are essential. AI must work continuously across drilling, production, maintenance and reservoir management without disrupting operations or compromising safety.

One of AIQ’s biggest advantages is access to decades of ADNOC’s operational data. According to Jol, the company has trained its AI models using around 70 years of energy data and has developed more than 200 AI use cases across ADNOC’s operations. These include predictive maintenance that identifies equipment failures before they occur, AI-assisted drilling optimisation, reservoir modelling, production planning and automated safety monitoring using computer vision.

The CEO said the company’s AI has already helped reduce drilling downtime, improve production efficiency and shorten engineering tasks that once took weeks to only a few hours. These real-world deployments, he argued, provide proof that AI can deliver measurable business value in the energy sector.

Jol also highlighted three essential ingredients needed to scale industrial AI successfully: high-quality proprietary data, powerful computing infrastructure and skilled AI talent. While many organisations can build AI models, he said relatively few possess the combination of data, expertise and computing resources required to deploy AI safely at industrial scale.

Trust, he added, is another critical factor. Energy companies are unlikely to allow AI to influence production decisions unless they are confident the systems have been thoroughly tested and can perform reliably in live operations. According to Jol, AIQ has earned that trust through years of successful deployments with ADNOC, allowing customers to see tangible improvements before adopting the technology more broadly.

Having established itself in the UAE, AIQ is now pursuing international growth. The company is targeting markets including the United States, Canada, the North Sea and other global energy hubs, while also expanding partnerships in countries such as Indonesia, Kazakhstan and Colombia. Its strategy is to export AI solutions that improve productivity, reduce operating costs, enhance safety and support lower-emission energy production.

AIQ, a joint venture between ADNOC and Presight, believes industrial AI will play a central role in the future of energy by helping companies maximise production, improve operational efficiency and make faster, data-driven decisions while maintaining high safety standards.