Over the last five years, Quake Capital has made over 260 early stage investments. Through that process, we review approximately 5K to 7K startups each year, with a heavy focus on SaaS, AI, Machine Learning, Computer Vision and Data Science. We first met with Carlos and the team from Datagran, when they were just getting started, but even then it was obvious they were going places, with large customers and global brands quickly signing on to the platform. However, what really caught our attention was the loyalty and growth they were seeing among those same customers. Each month, they were expanding the scope of existing contracts, while at the same time maintaining incredibly low rates of churn - two metrics that you see over and over in the best teams. Many of the company's top accounts were focused on food, travel, entertainment, sports, and general hospitality. So the emergence of COVID-19 and the associated lockdowns could have been a major challenge for the team, but they chose instead to use that time to refine the product and come out stronger, with a more scalable product, providing serious value to the world's largest enterprise customers. How they managed that potential crisis is also a testament to the team. We've worked closely with hundreds of founders, witnessing first hand those traits necessary for success. Passion, grit, drive, and determination are not simply buzzwords. They are an absolute requirement to building and scaling a startup. I've personally had the opportunity to work closely with Carlos and his team from very early on in their journey, and it's clear that they have what it takes to make this project a success. It's also worth noting that the company appears to be at an important inflection point, with key metrics such as client adoption, customer engagement, churn, and revenue growth all trending in the right direction, with continued month over month growth in excess of 10%. We would also expect tools like theirs to prosper in a difficult economy, as enterprise customers will look to find ways to expand efficiency and reduce or limit headcount. Datagran's solutions provide a force multiplier effect for marketing teams and data science professionals, at significant savings over other less productive options. We are very bullish on Datagran's prospects, which is why we are adding to our position.