Discover the potential for any venture. Insights built on Crunchbase investment data.
A model is only as good as the data used to train it. By using Crunchbase we are able to incorporate the latest industry trends, investment insights, and rich company data.
Use a frontend that streamlines data input while providing a pleasant user experience. Our form asks for only what the model requires to generate a prediction.
Designed as a standalone service our backend offers high reliability. The core API also supports 100% test coverage to ensure new features can be rolled out without risk of regression in functionality.
Given a fictitious company called Fabric Co we'll see how likely it is to succeed. The company is located in Singapore, Central Region, the industry is Retail, number of Founders is 2, number of funding rounds is 1, number of articles is 4, and number of employees is 7.
From this input we get back a 29.66% chance for venture capital investments.
We have a dataset of over 100,000 companies that have received funding in 100 different industries.
Our regression model uses a random forest classifier.
Our model predicts over 80% accuracy on whether a start-up is eligible for venture funding.