Welcome to our X-Europe startup interview series. We have virtually sat down with a number of our founders from past cohorts to hear all about their solutions, vision for the future, and what made them tick during our X Europe programme. So whether you are a deep tech founder looking for startup support, an eagle-eyed investor, or simply interested in the possibilities that technology can bring to society, then we welcome you to take a read. Please meet Fintelligence, a startup that uses Artificial Intelligence to accelerate and automate negative media search - customer reputation tool.
Can you briefly explain what your solution is all about? What’s unique about it?
Determining with whom you can and should do business has significant cost, time, and resource implications for financial institutions.
Our innovation is an AI-based automated customer reputation checking and monitoring tool that automatically gathers and analyzes all publicly available news to speed up the Know Your Customer (KYC) process and save time.
In a fast-growing business, manual screening of clients for negative news is not always possible or practical. However automated adverse media screening services can screen clients in bulk across many news sources, for the most relevant outputs.
Negative news screening for high-risk clients supports a robust risk management strategy. Risks that are not perceived during KYC and Customer Due Diligence (CDD) are often discovered during screening the client or entity for negative news coverage. Reputation tool can improve efficiency - delivering only negative news that can influence customer risk level.
What business sectors do you target? How does the technology make an impact?
Our taget customers are banks and other financial institutions. Adverse media screening is a critical component of financial anti-crime measures adopted by banks and financial institutions, as regulators across the globe, from Financial Crimes Enforcement Network (USA) to European Commission (EU), Financial Conduct Authority (UK) and several others, are enforcing strict requirements on the same. It is mandatory during onboarding know your client (KYC) checks, scheduled reviews and ongoing monitoring as part of customer due diligence (CDD).
Artificial intelligence (AI) has made an emphatic entry in the area of automation of negative news screening and optimization of search results analysis. Machine learning (ML) and natural language processing (NLP) based innovations have been disrupting the financial crimes compliance technology landscape.
What’s the biggest milestone your startup has achieved so far, and what challenges are you still trying to overcome?
We have just started external testing with our potential customers – it allows us to better improve our solution. Their insight and input is very valuable – our testers identify issues that we need to solve before our product goes to market.
How has X-Europe helped you during the past few months? We received attention from potential investors and also potential customers. There was also an opportunity to meet and discuss potential cooperation with the biggest companies in Central Europe. We gained valuable feedback and some useful tips for improvements.
After joining and benefiting from the services X-Europe has provided, what next steps do you envision?
We will continue external testing and start the product selling process. We plan to add new languages to our solution.
What advice would you give to an entrepreneur trying to pave his/her way in the artificial intelligence / machine learning landscape?
I would like to see more women in tech and especially in artificial intelligence. I think that diversity is critical in tech, as it enables companies to create better and safer products that take everyone into consideration, not just one section of society. I would recommend just start learning and pick the right problem that you want to solve!
What’s unique about the X-Europe programme?
It is not just a program – it is more. You can receive not only lectures but also one on one mentoring. During mentoring sessions, we received very useful advice and also knowledge sharing. Thanks to our mentor Peter!
--------------------------------------------------------------------------------
Comments