RavenPack Secures $5m Investment, Deploys New Big Data Platform

The new platform aims to help users to monitor market-moving events, also processing unstructured data.
Photo: Bloomberg

RavenPack, a provider of Big Data Analytics to an assortment of financial institutions, has launched a new platform, helping streamline the analysis of unstructured data for investing and trading.

The group’s recent unveiling of its data and visualization platform is powered by RavenPack’s proprietary sentiment analysis technology – the platform caters to financial professionals across all asset classes, which can help improve trading decision-making and well as risk management and compliance.

More specifically, the new platform aims to help users to monitor market-moving events, looking to bring to light pertinent insights by via a combination of data sets such as stock prices, geopolitical events, newsflow, social media activity, payments data, weather, apps, and other utilities. Users can also utilize the platform to help enable predictive insights and evaluate investment opportunities in real time.

$5 Million Investment Backing

In addition to the launch of its new platform, RavenPack also has secured $5 million backing from Draper Esprit, a venture firm responsible for the creation, funding and development of high-growth technology businesses. The funding from Draper Esprit will help enable RavenPack’s additional research and development into its unstructured data processing suite.

According to Armando Gonzalez, CEO of RavenPack, in a statement on the company developments: “Our new product and backing from Draper Esprit strengthens our ability to democratize analytics on big data in capital markets. The new platform opens up access to unstructured data analytics which until now have only been available to the most sophisticated quantitative investors and traders.”

“RavenPack has become a vital source of information for quantitative investors. The new RavenPack platform bridges the gap between systematic and fundamental investment managers exploring market anomalies and looking for an edge from unstructured big data,” explained Yin Luo, Vice Chairman of Wolfe Research.

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