How we used NLP to optimize Argus Data Insights
The client is a company that processes data collected from the media and finds insights within that data. Our goal was to use Natural Language Processing (NLP) backend services to improve solution performance and accuracy. Find out more.
How we built TaTaTu – the first social network that incentivizes users
How we helped Tatatu build the first social media app that incentivizes users for the value they generate by spending time on the platform.
How we helped SeaChange catapult their share price after the first demo
Our team has built a range of client-side applications and websites, from scratch. Also, we designed a scalable and extensible middleware as a wrapper around the legacy system. This solution was built using NodeJS and was designed in a way that allows enrichment of content and functionalities at the middleware level, without the needed for updates on the hard in order to maintain the legacy system.
Case Study: Website - 12 days of giving
An advent calendar, built on the top of the Umbraco platform, with a selection of best project case studies from the year. The website has been built for humanitarian purposes, but also to present and value the work carried out by the company.
The client-side used the following technologies: HTML5, CSS, JavaScript, while the server-side used Umbraco CMS, the .NET Framework and C# programming language.
Meet Sasa, our co-founder. It all started with him and Vladan – two roommates at university with a big dream. Fast forward to today – and 750+ engineers globally – he’s still never too busy to pick up an email. Catch him on hello.sasa@vegaitglobal.com.
Real People. Real Pros.
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