Icrowd

iCrowd.co is a crowdsourcing marketplace for technology hiring, operating from London as a brand of IT World Web.com. It gives employers one platform and one contract, and works on a no cure, no pay basis, so clients pay only on a successful hire. The company frames the model against the shared economy, comparing it with Uber, Airbnb and Amazon, and asks why a tech team should not be hired faster, more cheaply and with less hassle. Clients hire both permanent employees and freelancers through the same marketplace and can see at any point the time and cost the platform has saved them. iCrowd.co reports reach to 3.5 million IT candidates, roughly a quarter of all IT professionals in the European Union, drawn from 22 European countries and either EU nationals or holders of a permit to work in Europe, accessed through more than 400 partner agencies with established local networks and talent that is largely not on social media. More than 160 global clients are said to run all their IT hiring through the platform, and the site reports 25,758 jobs, 352,389 applicants, 274,677 interviews and 11,874,677 follow-ups.

Hiring is supported across more than 20 IT specialisations. These include Java, .Net, C++ and C#, front end, PHP and Ruby on Rails development and architecture, database development, business analysis, Microsoft Office 365, data science, NLP and machine learning, embedded systems, manual and automation testing, big data and analytics, network and infrastructure, solution and enterprise architecture, data warehousing and BI, cyber security and protocols, SharePoint development, DevOps, DevSecOps and cloud, project management and Scrum, and blockchain and crypto.

iCrowd.co is headquartered at 128 City Road, London EC1V 2NX, United Kingdom, and is fully integrated with iClickats.com. It is positioned as strongest when an employer is hiring at least ten IT professionals, when hiring across borders within the EU, and when a client wants to cut costs by stopping paid job adverts, cancelling recruiter database licences and reducing reliance on agencies. Machine learning and artificial intelligence learn a technical team's preferences as applications arrive, and a badge system rewards active clients with priority treatment from vendors.