There are great sources for innovation scouting such as databases. However, they mostly offer financial data. What happens once the information is not enough? Innovation managers need to do all the work themselves: find the right criteria, result filtering, vetting, due diligence, etc. This can lead to SAD Syndrome. On top of that, competitors find the same exact data only by entering the same keyword, even though the two companies have unique strategies. Here you will find a more in-depth list of current methods and their shortcomings. How does Artificial Intelligence add an extra layer to this process? AI provides information and insights about the actual activity of startups and filters out the results that are known to not be a match from the very beginning. Moreover, AI scouts more than just a name, website, and financials. It scouts investors, employees, partners, and customers, as well as content on their website or social media. This type of data is what creates a perfect match between corporate needs and startup offerings.