AIQ, the Emirati firm, enters India with one million cameras, exporting artificial intelligence from energy fields to fuel stations

When a single contract involves a million cameras, the story is no longer just about installing surveillance devices. According to an AGPI report, the Emirati company AIQ signed a contract to deploy one million cameras for an Indian oil and gas conglomerate whose name was not disclosed. The deal is part of the company's expansion beyond its domestic market, but it also reveals the type of artificial intelligence the firm aims to export: systems linked to energy operations, from refineries to fuel stations and retail outlets.

The cameras will be used in refineries, fuel stations and retail stores. The report says the visual monitoring system will read vehicle licence plates, and AIQ's intelligence will provide the Indian client with information such as the products that need replenishment at its stations and stores. The report does not disclose the client’s name, the deployment schedule or the contract value, so the headline cannot be translated into a financial or operational estimate beyond what was announced.

The camera is part of an operational decision

This detail is what distinguishes the deal from a routine geographic expansion story. The piece does not describe the cameras as an independent surveillance project, but links them to licence-plate reading and to information about product replenishment. AIQ also presents itself as a company that designs systems to make energy operations more efficient, from alerting to components that may fail in oil fields to advising on equipment that warehouses should store. In India, the announced use case is broader than a single field: refineries, stations and stores within the oil-and-gas conglomerate’s activities.

The company says roughly five percent of its business comes from customers outside the UAE. It began exporting its technologies more than a year ago and operates in Kazakhstan, Egypt, Colombia, Malaysia, Vietnam and Kuwait, according to AGPI’s interview with chief executive Dennis Joule. That places the Indian contract on an existing trajectory rather than as the company’s first foray abroad. However, it does not provide details on the size of each of those markets or the nature of the contracts there.

From Abu Dhabi to a larger market

AIQ is a joint venture between ADNOC, backed by the United Arab Emirates, and BrightSight AI, a subsidiary of G42, which specializes in artificial intelligence and cloud computing. The company was founded in 2020, and its clients include the American oil-field service firms SLB and Baker Hughes, according to the report. In March 2025 it signed a $340 million deal to use its proxy artificial intelligence across ADNOC operations. This background explains why the Indian contract appears as an extension of capabilities built around energy data and processes, rather than a sudden shift into a unrelated sector.

The report notes that AIQ has developed a new AI operating system called Genesis, and that it trained its systems on ADNOC data collected over 70 years and amounting to 40 petabytes. Joule said the company is profitable, although it does not publish its financial results, and that it is considering possible acquisition targets among technology firms. These are statements from the company relayed by the report, not published financial disclosures that could be used to estimate its earnings or acquisition plans.

Regional test of what export means

For energy and AI firms in the Gulf, the story’s value is not in the figure alone. It poses a practical test: can a system built on local data and operations be turned into a deployable service for an external client, with clear use cases such as replenishment? AIQ’s contract in India signals this path, but it does not yet demonstrate the actual scope of implementation or its outcomes. What is certain from the report is that the Emirati company signed the contract and that the announced use extends to one million cameras across an energy-and-retail operating chain.