News Analysis for Credit Risk

We continuously monitor and analyze a massive number of news and social media sources for insights into your credit risks, and the financial markets in general. We use cutting edge technology to find which news stories will affect which companies and in what ways. This means that we can tell you when something important is happening with your risk exposures, giving you the opportunity to act accordingly. This information is incorporated into our credit risk scoring models, providing more accurate and up-to-date scores than otherwise available.

Most other actors in this space are English-only systems, or use crude automatic translation in order to enable such functionality. The time is right for news and text analysis solutions of high quality and reliability to be offered to many more languages. Our current solution is focused on Norwegian and English, however, we will soon expand it to other Scandinavian languages, then other Germanic languages.

Customers, not Keywords

Most text analysis is currently based on simple keyword searches, which works if you already know what you are looking for. We are able to construct the relations for you, meaning that you only need to provide who your customers are, we handle the rest. No more manually searching to find updates regarding your most important customers, we keep you updated, making sure to use the metrics most important to you when prioritizing what you need to know. Want to keep best track of customers you have a bigger exposure to? Give us a number for those exposures, and we’ll dynamically adjust the sensitivity of our analysis.

Algorithmic Filtering

Using machine learning on financial data, in the context of automated news analysis, it is possible to measure which news stories actually have predictive power, and to what degree. Despite sifting through the full breadth of available news and social media sources, we’re able to only expose you to news which is both relevant and impactful to you and your credit risks. This means you’ll have more sources available to you without being flooded with irrelevant junk news, while still being served those crucial stories which can mean the difference between your business’ success or failure. This also means that when you are investigating potential new customers and estimating their risk levels, only relevant news is taken into account. This is then used to create our enhanced risk score, combining traditional risk scoring with our models using news and machine learning.

Enin is hiring!

We are currently hiring a frontend or full stack developer. Interested in working with AI and financial technology? Read our full job descriptions and send your application to team@enin.ai!

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Interested in our solutions or partnering?

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We would love to discuss how we can help you or how we can work together.