HELLO!

Who We Are

At Inferess, we want to solve the biggest problem in investing: everyone is guessing.

Analysts need to know supply chain relationships between companies, how to use this information, and where to source it from. Asset managers need to identify their portfolio risk and determine where to allocate resources in order to gain excess returns. Investors need to know which companies and sectors are growing the quickest, and where companies are really spending their capital.

In business, we need data to make informed decisions. Inferess provides the most actionable supply-chain insights in the industry. We aim to make this data available to as many people as possible.

Our Approach

Our approach is rooted in machine learning techniques, natural language processing, graph theory, and statistical inference and implemented by a team of researchers with backgrounds ranging from computer science to financial markets.

We gather and clean vast, rich datasets. Not only financial data but anything that might help us to understand how relationships between companies evolve. We synthesize these relationships into a huge network and using a continual deluge of inputs we unlock hidden insights and also estimate the unknowns.

Using statistical modeling, pattern recognition, and machine learning techniques, we tease out subtle predictive insights from this network and deliver these insights to investment management firms to help invest and grow the money people are saving for their future.