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Alfa Lands First Customers for AI Venture, Alfa iQ

February 25, 2022, 07:18 AM
Filed Under: Technology

Alfa, a provider of software for the asset finance industry, has secured its first revenue-generating work for Alfa iQ Limited.

Alfa iQ is a partnership between Alfa and Bitfount Limited which combines decades of asset finance expertise with deep artificial intelligence and machine learning capabilities. The intelligence platform enables customers to make better decisions and to adapt quickly to changing market conditions through these methods.

Alfa iQ spent 2021 engaged in prototyping work with Alfa customers which successfully evidenced that there were significant business benefits of artificial intelligence and machine learning applications within the asset finance industry. Alfa iQ has now been engaged by two leading organizations, one providing automotive finance and the other business finance, to implement artificial intelligence and machine learning solutions within their businesses.

Andrew Denton, Chief Executive Officer of Alfa, said, “I am delighted that, having proven the opportunity in artificial intelligence and machine learning in the lending industry last year, Alfa iQ is moving from that exploration phase into practical application, and generating revenue in 2022 as planned.

“Moreover, I am excited to be starting on the journey of applying artificial intelligence and machine learning to help our customers optimize service levels and improve the quality of decision making to increase returns and alleviate risk.”

The projects build on two different applications of artificial intelligence and machine learning in asset finance: improvements to originations and workflow optimization. Plans for further applications are also being developed.

Blaise Thomson, CEO/Founder of Bitfount, added, “It has been wonderful to start being able to quantify the impacts that machine learning and analytics can have on the asset finance industry. We are looking forward to our next stage as we start to realize those effects with live customers.”







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