Silicon Valley firm looks to target North Sea business

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A remote monitoring provider from Silicon Valley is to open an office in Aberdeen to target the oil and gas market.

The new Flicq office, at Aberdeen International Business Park is part of a global expansion which has also included opening operations in Perth, Australia and in Chennai, India.

The firm said they planned to open the office with two members of staff who will be focusing on starting business in the North Sea.

They said their vision is to add technical resources for both consulting services and for local research and development (R&D).

The firm said when they add technical resources they would be keen to engage with universities and industry bodies in Scotland and that the staff count would rise to five to 10 people within the next couple of years.

In choosing its first European location, the firm said it has worked closely with Scottish Development International (SDI) on securing this investment for Aberdeen.

Karthik Rau, CEO, at the firm said: “We are delighted to expand our worldwide presence by opening our first office in Europe.

“Having already seen strong interest for our remote sensing solution in the oil and gas sector, Aberdeen was a logical location for our office”.

Jim Kealy of SDI’s Chicago office said: “Flicq selected Aberdeen as the location for its new international office, having recognised Scotland’s position as a global leader in the development of digital solutions for the oil and gas sector.

“Using new digital technology, the company will drive improved performance, increase uptime, optimise production, enhance safety and reduce the cost of doing business in the North Sea, so I’m sure they will prove to be a great asset to the oil and gas sector in Scotland.”

Sensor technology coupled with algorithms, connectivity and analytics are at the heart of the digital transformation of industry.

Such Industrial Internet of Things (IIoT) solutions offer the promise of transforming businesses through providing insight into the condition of expensive assets such as valves, compressors, power supplies and pumps.

Artificial intelligence algorithms can be applied to characterise healthy and unhealthy conditions as well as to identify longer term trends.

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