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The Generable platform is utilizing the latest advances in probabilistic programming, Bayesian inference, and multi-level regression and poststratification (MRP) for dose optimization, making go/no-go decisions from early clinical data, assessing the predictive power of biomarkers, and performing principled subgroup analysis.
Our cloud-based, analytics-ready database and inference API makes it easy to produce and reproduce analyses without worrying about IT infrastructure configuration and maintenance.
We are currently working with a small number of beta customers in Immuno-Oncology.
Generable originated from the open-source Stan (mc-stan.org) project at Columbia University.
Our cloud-based, analytics-ready database and inference API makes it easy to produce and reproduce analyses without worrying about IT infrastructure configuration and maintenance.
We are currently working with a small number of beta customers in Immuno-Oncology.
Generable originated from the open-source Stan (mc-stan.org) project at Columbia University.
Overview
Location
United States, New York
Employees
1-10
Founded date
2016
Investors 1
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Mentions in press and media 2
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| Apr 21, 2018 | Through luck and grit, Datadog is fusing the culture of developers and operations | There used to be two cultures in the enterprise around technology. On one side were software engineers, who built out the applications needed by employees to conduct the business of their companies. On the other side were sysadmins, who wer... |
Reviews 0
FAQ about Generable
When was Generable founded?
Generable was founded in 2016.
What has the press written about Generable?
Parsers VC has collected 2 articles mentioning Generable, among them “Through luck and grit, Datadog is fusing the culture of developers and operations” (Apr 21, 2018).
Is Generable still active?
Yes, Generable is active; its latest activity on Parsers VC dates from Jun 20, 2019.