We are thrilled to report that PreSeries is opening its doors! As we celebrate the official launch, we’d like to invite all of you to try it out.
If you work in venture capital, corporate strategy, innovation, M&A or investment banking, chances are you are spending too much of your time scouting for the most reliable and up-to-date data sources only to spend even more time to clean, prepare the data, and perform analyses to derive meaningful insights. Given this complex data landscape, PreSeries is positioned to be the Swiss Army knife that gives you an unfair advantage over other investors. With our unique approach taking advantage of Machine Learning to assess a startups’ likelihood of success, we allow you to cut through the noise and focus on what matters. After all, data-driven approach to early-stage investment is the only way to remove our human biases once and for all.
PreSeries is also the perfect solution for cash-hungry entrepreneurs. Fundraising activities often feel like hunting for whales on makeshift raft for many startup founder’s in an ocean of investors with fickle interest. Using PreSeries to target the right VCs is the equivalent of upgrading to a naval grade vessel. Now, you’re finally able to gain first-hand knowledge of VCs most likely to invest in your company and discard the ones that will likely take your precious time by making you run around the block twice.
If you are an analyst or a data-scientist, there is a high probability you’re not a fan of data fairytales. You have to see it to believe it. Well, you’re in luck! With the PreSeries Analyst Platform (powered by BigML), we give you access to PreSeries’ Machine Learning engine room. You’ll be able to look under the hood to not only access but also customize our consolidated datasets, Machine Learning models, predictions and much more.
More blog posts detailing specific PreSeries’ features will be published on a regular basis, so stay tuned!
P.S.: If you’re interested in a demo, simply get in touch with us at email@example.com and we’ll schedule one in no time.