Web Log: Machine learning drives Trooly trustworthy interactions

It is cheaper, more accurate and far less prone to bias than traditional background checks or credit scores

Trooly has launched its Instant Trust rating system

On the back of an announcement of $10 million (€8.9 million) in private funding, trust-tech start-up Trooly has launched its Instant Trust rating system that uses "public and permissible" digital footprints to devise a rating – and predicted future trustworthiness – of both individuals and organisations.

Trooly uses machine learning techniques to sort through online data and, based on this, predict how likely it is that this person is a good candidate to do business with.

The tool is aimed at everyone from recruiters to the financial services sector and communities or marketplaces who would like to know about new members signing up to their services. The start-up says it is cheaper, more accurate and far less intrusive or prone to bias than traditional background checks or credit scores.

The end result is an overall score based, in part, on academic and commercial models for assessing trust-related traits.

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