YUKKA Lab: Real-Time News Scores & Signals to redefine underwriting and portfolio monitoring
In today’s fast-paced environment, underwriters and portfolio managers struggle to keep up with all developments in real-time. The demands of daily tasks leave little time to search for and analyse relevant articles about portfolio companies or new business prospects. No matter how thorough your research is, there’s always a risk of missing critical news, increasing the potential for human error.
This is where YUKKA Lab steps in. YUKKA Lab offers an innovative solution that provides an instant and exhaustive overview of all news content related to a specific company or an entire portfolio. The platform eliminates the uncertainty of overlooking important articles. It monitors all news sources to provide a clear overview of any identified risk events and allows one to quickly examine the specific details within the articles to assess their relevance.
This data-driven approach to news empowers investors and risk managers with insights and alternative signals that can significantly enhance their performance. YUKKA Lab is recognized as a global technology leader in real-time ESG Controversy Screening at scale.
As YUKKA Lab continues to innovate, it invites industry professionals to explore the future of underwriting and portfolio intelligence.
How it works
YUKKA Lab’s technology screens over 2 million articles daily, detecting all entities and the respective events in which the articles are involved. The findings are then aggregated into a score that provides a clear, data-driven indicator of the risk exposure associated with each counterparty. The tool is capable of identifying a company’s involvement in an event, determining the company’s role, and establishing whether the event is in the past, present, or future.
When users receive an alert about an upcoming risk event, they can now engage with YUKKA Lab’s LLM to discuss the background and nature of the event directly with the AI assistant. This interaction is as seamless as conversing with a colleague, with the added benefit that this AI-driven assistant never sleeps, reads 2 million articles daily in multiple languages, and is dedicated to supporting users in ways that a human cannot.
Why did we select YUKKA Lab for ITC DIA Europe?
YUKKA Lab’s applies Natural Language Processing, Machine Learning, and Artificial Intelligence to unstructured news data. The company’s news analytics solution assists underwriters and portfolio managers in monitoring, screening, and documenting relevant news about their businesses. YUKKA Lab’s solution increases the volume of news data screened by 6400x, enhances efficiency by 25x, and identifies 10x more potential risk events. All while reducing the time required for an investigation to just 15% of what time it would typically take.
This breakthrough allows professionals to shift from merely reading news to taking action, with the confidence that YUKKA Lab’s AI assistant has pre-screened all relevant information and condensed it into an easy-to-understand score and a concise two-page PDF report. The result is faster underwriting cycles, more informed decision-making, and improved cost ratios, leading to a time reduction in overall claims.
Who is YUKKA Lab?
Founded in 2017, YUKKA Lab AG is headquartered in Berlin and serves clients across Europe, the USA, and Asia. The company’s team consists of 30 people, all data and AI experts. They are dedicated to revolutionising how news is analysed and used in decision-making processes across various industries.
YUKKA lab was appointed “Cool Vendor in NLP for processing enormous amounts of unstructured data” by Gartner Research. This endorsement echoes YUKKA Lab’s global client base, who utilise the company’s solutions for various applications, including underwriting, investment, ESG, sales, and consulting.
“We make news measurable and you make them count. Redefine how you analyze company news and bring your underwriting and risk management to the next level with us” - Oliver Berchtold Co-Founder & CPO
Learn more on their website