Explainable Machine Learning Self Service Platform.
Most Machine Learning models are opaque, non-intuitive and difficult for people to understand. We are different.
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HOW ARE WE DIFFERENT
We use open box algorithms that are explainable and transparent to make predictions. By using unsupervised machine learning and looking for patterns in data, we do not need lots of historical data. We sift through big data to find smart data.
About

What we do

Our algorithms are all open box unlike competitive solutions that use deep learning algorithms such as neural networks which can become overfitted based on too much past historical data, or use outdated opaque off the shelf libraries such as R, Matlab, SAS or SPSS. All our algorithms have been coded from scratch minimising any opaqueness.
Our self service platform is data agnostic and doesn't require years of past historic data.
We use a combination of easily explainable GLM (Generalised Linear Models) and Clustering algorithms to provide inferences on near-real-time data.
The type of Machine Learning is known as Unsupervised ML.

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Team

Who are we

We are an eclectic team of data scientists, software programmers and veteran business leaders. We live, breath and eat machine learning and artificial intelligence.

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About Us

Company news

Predictive Crime product launched
New closed alpha product release - Heimdall
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