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Revnue Corp.

According to the United Nations Conference on Trade and Development (UNCTAD), about $28.5 trillion worth of trade was done last year in 2021. Each transaction is governed by a contract, therefore emphasizing the need for companies to have an effective contract management process in place. 

Despite knowing the importance of contract management solutions, organizations still lose about 9% of their revenue due to inefficient contract management [According to World Contracting and Commerce].

Revnue is an AI-powered digital contract management platform that is transforming the way enterprises manage their contracts. The platform leverages advanced AI/ML technologies and self-learning capabilities to streamline and simplify the contract management process, empowering businesses to leverage contract intelligence for strategic planning, digital transformations, and operational efficiency. Alongside next-generation contract management features, Revnue also offers integrated asset and supplier management, market data integration, and advanced reporting capabilities.

Revnue’s smart capabilities include end-to-end contract management, key data extraction, a powerful API for enterprise-wide integrations, integrated security features, advanced analytics, and an easy-to-use, and intuitive interface. The platform also offers a Smart Repository that seamlessly stores, tracks, and manages contracts, assets, customers, suppliers, services, and SaaS documents. Other key features include Custom Fields, Smart Search, Smart Inbox, Smart Reminders, and multi-user support.  

By making contract management accessible to everyone, from small businesses to very large enterprises, the company aims to make a positive impact on millions of customers across the globe. The company was founded by a team of veterans from Microsoft, VMWare, Warner Bros., who have years of experience in digital contracting, building and scaling high-quality global technology teams, transforming organizations, and strategically streamlining operations across multiple technology functions.

Projects evaluation criteria

Level of Impact
40%
Scalability
30%
Transparency
20%
H-Factor
10%

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