Sercea is a private equity investment firm that augments a traditional approach to underwriting risk and evaluating investment opportunities with data science.
We believe that by leveraging machine learning, we are able to understand complex layers of data in ways that traditional analysis cannot. By doing this we put our investments in a better position to deliver market leading returns while still protecting investor capital.
If data, math, and technology are the brains of our business, human interaction, consumer psychology, and design are the heart. Qualitative meets quantitative. For any investment strategy to be successful, a human touch is required – but when a fundamental strategy is augmented with technology and data, a true competitive advantage is achieved in the market.
Governed by an outside of the box approach to trend prediction and pattern recognition, we use machine learning to connect the dots between historical data and future real-world conditions. Because of this, we are able to make faster, more intelligent decisions about the way we underwrite risk, analyze opportunities, and execute on our investment strategies.
The creation of our proprietary methods begins with galvanized hypotheses rooted in economic & psychological theory, applied mathematics, and domain expertise. These ideas are modeled, tested, expanded, tuned, and eventually integrated into our processes.
Sercea is currently focused on investing capital into the retail, energy, transportation, and real estate sectors. Our target equity partners are institutions, family offices, and private investors.
Imagine you're shopping for groceries. When you pick out your products you might look at the ingredients and nutritional information, but do you know where the kale in the bottle of green juice is sourced from? Do you know the grade last issued by the health inspector at the manufacturing facilities where the juice was processed? Likely not, but if that information was available, how would that affect your decision on whether to buy it?
That's what we do. We obtain and synthesize the alternative data in order to create transparency and obtain a more complete picture of exactly what you are spending your money on, or in our case, what we are investing our money in.