Almax debuted in January 2016 as an Innovative Company to Watch by KPMG Luxembourg and quickly built demand and investor interest, thereby closing the seed round April 2016 to develop this first to market technology.

“We are excited to present our product to the market and have worked hard to deliver this technology,” says Balazs Klemm, Chief Executive and Founder. “On behalf of the company I need to thank our loyal supporters and the Almax team for their commitment and patience. We look forward to growing the business and already engaged in Series A financing discussions.”

Almax Analytics solves the problem of information overload with actionable insights by putting the content of news into context and by running deep analysis across the entire network of affected companies. The software applies and combines cutting edge technologies of natural language processing (NLP), machine learning, network analysis and data visualization in a novel way for an existing problem. The technology is easily accessed and deployed through a web-based platform and is subscription based.

It is common practice to make quick decisions on the basis of earnings reports, but the window of opportunity to trade on new detailed information that is available in filings and in news is still open.

“Almax Analytics is taking event-driven trading to a new level by enhancing standard rule-based event extraction engines with data-driven deep learning components,” says Peter Sarlin, Head of Research and Co-Founder. “We can see an immense value in directly incorporating our advanced natural language processing engine with our proprietary quant models for automated trading strategies.”

“It is simply not feasible for humans to read and absorb the sheer quantity of news available. This is a real and painful problem for asset managers and one that is impossible to manage in real time with the current systems,” says John Superson, Chief Executive of SUMO Capital and the beta customer for Almax. “The analytics output of the Almax Analytics platform is highly valuable as it helps to generate alpha and manage risk and improves trading with efficient intelligence and data gathering. “