Causality Link, an advanced, AI-driven financial information technology provider, today announced the addition of veteran Bayesian networks (BN) and natural language processing (NLP) expert Joseph Simonian as Technical Advisor.
Newly added customizable alerts, KPI Navigator tool and an expanded scope of system detection advance the platform’s ground-breaking technology and ability to deliver actionable causal links.
Salt Lake City-based technology company Causality Link has developed a natural-language processing platform that extracts hundreds of categories of information related to ESG, tagged against listed companies. These signals aggregate the perception of more than 8,000 news publishers worldwide to track the percentage of favorable coverage in real time, says Eric Jensen, the company’s founder.
Financial markets are impacted by a multitude of global factors. To get a complete, diverse perspective on a company or industry, information from around the world must be taken into consideration. Causality Link uses Amazon Translate to process over 500 million characters in 24 languages each month.
Causality Link Partners with Eagle Alpha to Supply Data from AI-Powered “Research Assistant” Platform
Causality Link, an advanced, AI-driven financial information technology provider, and Eagle Alpha, the pioneer connecting the universe of alternative data, today announced the addition of Causality Link’s data to Eagle Alpha’s library of alternative data supplied to asset managers, private equity professionals and corporate enterprises.
What was the highlight of 2020? We were fortunate to start 2020 off with the signing of a very large and significant new customer, a recognizable household name. Shortly after that, we closed a Series A investment round on the same day that the US stock exchanges halted trading. Using this round of funding, we… Read more »
Founded by an accomplished group of system designers, natural language processing experts, data scientists and software developers, Causality Link collects and aggregates more than 50,000 texts every day in 24 different languages, in real-time, through its AI-powered research assistant system to find explicit cause-and-effect statements relating to indicators and events.
Time and technology have shifted investors away from what was once a rigid elite circle of indices mostly provided by reigning players such as S&P, Russell and MSCI.