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Seon operates on a usage-based pricing model, foregoing integration fees and instead charging customers each month based on how many transactions they make.
It uses machine learning to track data points that clients can customise according to their trouble areas.
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Experts have previously told Sifted that there are still multiple ways of undermining the processes that APIs like Seon’s provide. When run online, every single layer of the value chain can be exploited. This means...
While the US might be their main target for now, gaining market share in US fraud prevention is no easy task. More established competitors in the market include $4.5bn Socure as well as Ravelin, Sift and Riskified.
Seon believes it can com...
University friends Kadar and Jendruszak began developing what would become Seon while working on a crypto exchange venture in 2015 that was targeted by a slew of fake accounts.
To stop these attacks, they built their own solution to detect false accounts and quash fraud...
building @tellimer. #engineering, #machinelearning and #crypto
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