Case StudyCircle Up

Circle Up helps startups raise funds via crowd funding by evaluating their potential and risk using machine learning

CircleUp plans to help entrepreneurs raise capital by matching them with potential investors. They analyse companies based on 90,000 data points and classifies companies based on potential and risk. They use this to predict likelihood of breakout success using machine learning. Investors can use this data to find interesting ventures.

Context

"CircleUp is an investment marketplace for innovative, early-stage consumer product and retail businesses."

The Project

Circle Up evaluates start-ups based on financial performance, brand, product, distribution, team based on publicly available data and partner and practitioner data.

Data

"Billions of data points on 1.3 million companies across North America".

Results

The companies claims: * $300m+ Invested since 2012 * Raised millions for start-ups such as Guidboat.Co, Miyoko''s Kitchen, Smarty Pants etc.

Related Use Cases

Use Case

Evaluate investment opportunities in early stage companies

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