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Digital validation services for the future of the digital economy

Netki is a developer of remote digital identity verification technology to facilitate compliance with KYC and AML regulations around the world. Netki serves various business purposes where robust KYC technology is required, such as ICOs and token sales. The company claims that its solution is the first kind that specifically addresses the needs of blockchain-based businesses in the world. Netki was founded in 2014 by Justin Newton and Dawn Newton, with a mission is to bring industry solutions to cryptocurrency communities. It launches several products, including Netki’s earliest product, the Netki Wallet Name Service that translates complex crypto wallet addresses into easy to remember names.

According to Crunchbase, Netki has raised a total of $3.5M in 2 funding rounds. The latest funding round was finished on May 3, 2018. There are more than 10 investors that support the projects, some of them are CMT Digital Ventures, E3 Capital Partners, Tom Turney, Oreilly AlphaTech Ventures, The Husseini Group, Donuts, and Digital Currency Group. According to PrivCo, the company has a post-money valuation in the range of 10 million to 50 million as of July 5, 2016. The project itself has 2 core members including its CEO Justin Newton, with 5 board members and advisors including Charles Hilliard.

On its website, Netki stated that the company is building a global identity validation technology for the future of the digital economy. It uses a platform that utilizes advanced biometrics, fully automated, scalable, and developed with deep industry knowledge in order to ensure compliance in all your digital transactions. The platform is claimed to delivers the highest auto validation rates by accepting more ID types, supporting multiple languages, reading ID documents in native character sets, and having the greatest racial diversity recognition. The core products of the platform will be the TransactID and OnboardID, which will help businesses to validate new clients and save cost by utilizing the most efficient algorithm.




California, United States

Year founded