Chinsay | Technology to digitalise trade workflows
Computing AI and Machine Learning Awards name Chinsay as finalist for Outstanding Data Analytics Solution Award

SINGAPORE, 28th May 2019 | Press Release


Chinsay announced today that it has been shortlisted in the prestigious Computing AI and Machine Learning Awards in the ‘Outstanding Data Analytics Solution’ category. Chinsay is the leading provider of commodities contracts data management and its recently launched Intelligent Contract Platform (ICP) has been shortlisted for the award. ICP is a state-of-the-art platform designed specifically for the commodity and freight markets, capturing and digitalising contract data early in the process and allowing companies to move from paper-based, cumbersome processes to a streamlined business operation.


ICP is a SaaS platform developed by Chinsay with input from its clients, including some of the largest market participants. Historically, the sector has relied on disparate legacy technology, spreadsheets and a great deal of error-prone manual processes. The ICP solution connects across siloed systems and extracts, aggregates and disseminates data, allowing businesses to have in-depth and real-time insight into their operations.


Aitana Conca, Director EMEA, said: “Being shortlisted in this category is a great honour for us. Our goal is to digitalise the commodity and freight industries and provide our clients with an efficient solution for contract dataset management. Our platform is built on our almost two decades of experience in the industry and addresses the pain-points of the market. We consider this news recognition of the team’s in-depth knowledge of the market and our constant pursuit of excellence.”


The Computing AI and Machine Learning Awards comprise 24 categories and recognise the best companies and solutions across fields working with Artificial Intelligence and Machine Learning technologies. These prestigious awards are run by Computing, a long-standing publication which specialises on technology and data, and are judged by a group of highly-knowledgeable professionals working with ground-breaking technology in a wide range of industries.

May 28, 2019

Share This Story, Choose Your Platform!

Share by: