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Wayra pick 9 start-ups for acceleration

Thursday, August 28 12:33:18

Digital start-up accelerators, Wayra, today said it has selected another nine start-up companies for business acceleration and investment in September.

The start-ups were chosen from a shortlist of 15 projects by an independent judging panel following a day of competitive pitches and mentoring.

Wayra, based in Dublin's Docklands and part of a global accelerator programme, provides early stage investment to start-ups as well as a dedicated state-of-the-art workspace, access to market leading experts and the channels-to-market necessary to accelerate commercialisation including favourable terms with leading technology suppliers.

Since its launch 2 years ago, Wayra has accelerated 21 companies that, to date, have raised over E7.5m million in funding for their businesses.

Each of the 9 start-ups entering Wayra in September will receive financing of up to E40,000 and, in addition to a dedicated workspace, will benefit from a nine month, intensive commercial acceleration programme with access to expert mentors and favourable commercial terms with leading technology suppliers including Amazon, Google, Paypal and Microsoft.

Commenting, Wayra Director, Karl Aherne, said: "Wayra is creating an ecosystem that stimulates already highly promising, entrepreneurial initiatives. Our role is to provide the platform to help accelerate ideas and impact, ultimately with the goal of creating highly investable businesses. For the selected start-ups announced today, Wayra presents a huge opportunity to drive their business forward, leveraging the global network of Wayra accelerators, resources and customer access".

The start-ups include Beautifuleye, an image analysis that scales unlocking words hidden in an image and turns visual content into business insights and Haskoin, an enterprise Bitcoin platform built by technology and finance professionals as well as Legalshine, which helps large organisations control their legal costs. It reads legal bills, turns them into data, and uses the data to eliminate waste.

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