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The efficiency of robo-advisors generally depends on algorithms selected. However, technology stack used for the software platforms has a significant impact on satisfying clients’ expectations such as the system performance, reliability, and security.

Here, the key North-American and European robo-advisors are grouped according to technologies used for their platforms’ backends. Technology stack applied for backend impacts business intelligence and analytics, mathematical algorithms, data transformation and processing.

Infographics: Technologies used for backends in WealthTech

The research is based on data received from open sources: AngelList, StackShare, LinkedIn.

Find out what technologies are used by the key robo-advisors for their frontends and data storing.

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