Data
DATA
Applying data science to understand startups
The Inference and Machine Learning Group is Radicle's data science intelligence unit. We apply modern statistical methods to better understand startups and venture capital.
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The Inference and Machine Learning Group
Applied research on startups and building the state of the art data science tools that power Radicle’s future-focused research and discovery products.
Disruption Discovery Platform™
NLP engines to identify novel areas of disruption and the companies competing for a market opportunity
Investor Cluster Score™
A mathematical measure of the signal produced by the investors in a startup’s capitalization table
Startup Anomaly Detection™
A statistical algorithm to estimate the plausibility that a startup will exit via an IPO or acquisition
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Working papers
An Empirical Perspective on Startup Valuations
Sebastian Quintero
In this paper, we explore post-money valuations by venture capital stage classifications. We find that valuations can be described as being log-normally distributed, allowing us to think of them in terms of mean, median, and standard deviation, as well as build classical statistical models.

We present an OLS log-log regression model as a tool to help practitioners approximate an undisclosed post-money valuation with ease. Our results are statistically significant at the p < 0.001 level for all terms with an adjusted R-squared of 89 percent.

We also describe the results of an equivalent Bayesian model to better understand the uncertainty of our OLS estimates.
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An Empirical Perspective on Startup Valuations

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Select the stage classification of the startup’s most recent financing round
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LATEST NEWS
Introducing the Investor Cluster Score™ — a measure of the signal produced by a startup’s capitalization table.
Medium.com - Oct 13, 2017
Introducing the Capital Concentration Index™
Medium.com - Dec 20, 2017
How much runway should you target between financing rounds?
Medium.com - Oct 26, 2017
Dissecting startup failure rates by stage
Medium.com - Nov 7, 2017