Connecty is looking to streamline the relationship between businesses and research house by serving as the missing link between holders of knowledge and those responsible for transforming knowledge into innovation. This knowledge ecosystem is setting out to accommodate all scenarios on the spectrum: from a short request for an expert’s opinion to a comprehensive research study that may stretch over a considerable period of time. It is intended this will be open to all areas of knowledge and all fields of study ranging from physics, engineering and IT systems to ecology, environment and society plus everything in between.

The Svandis ecosystem is driven by a community of users and researchers using powerful Svandis tools, analytics, and indicators for professional traders in need of real-time, actionable data and analyses. The Svandis community drives the rapid collection of verifiable data and information through a tokenized incentive system. The platform within the ecosystem provides leading financial research, analytical and visualisation tools for anyone actively involved in the space: short-term and swing traders, traditional holders, analysts, hedge funds, institutional investors, trading firms, and token sale contributors.

DailyCoin has built a decentralized eCommerce platform, on the Ethereum Blockchain, and payment solution system. The aim is to provide that financial payment solution with little or no hassle, with next to nothing or no transaction fee, allowing people to buy or pay for those services they are used to on their platforms or merchant sites. The goal is to make everyone’s daily experience an easy one while buying those tickets, paying for shopping items or even making hotel reservations.

Expected to kick off in 2018, the Fan-Controlled Football League (FCFL) reimagines American football – and the experience of being a die-hard fan – for the digital age. The FCFL will seek to deliver a compelling football product that captivates a broader digital audience. It will feature fast-paced, high-scoring action that embraces the spread-football evolution of the NCAA football and NFL games while enabling a diverse set of styles and strategies on both offense and defense ─ all controlled by the fans. Player personnel and real-time play calling decisions are all made by fans via the league’s blockchain platform, making fans the coach and general manager for their team. Fans will no longer be just viewers; rather, they will be active contributors to the games they are watching. This is a transformational shift in the way sports fans engage and interact: no more sitting back and passively watching as a team’s roster takes shape or a game unfolds. They will be essential to the league’s product both on the field and off. This is the democratization of sports, and it’s about to be realized through the most innovative sports league ever created, thanks to decentralized blockchain technology.

Review.Network is a project that aims to create a unique trusted high-intelligence user-company feedback platform based on blockchain and AI technologies. Review.Network provides direct communication between companies and customers, that helps carry on efficient top-tier market research feedback without any mediator. Our model also directly rewards participants for their valuable feedback. The platform's community can gain coins by producing content and working with quality reviews on the Review.Network platform. With the smart recommendation system implemented, it is easier for members to find the best goods and services with ease. The REW is the digital currency of the Review.Network platform. Companies purchase coins to conduct market research on the platform and reward users in exchange for the feedback they leave.

Squeezer is a platform that helps software developers build apps easily without tackling the entire blockchain infrastructure. It is also a powerful tool for providing high-quality blockchain software components to large enterprise organizations. Squeezer uses world-class microservices platforms, such as AWS Lambda, Google Functions, and Azure Functions.