Predictive Analytics Platform

What does TUBR do?

Unlike other prediction engines, TUBR uses a physics-based methodology to anticipate consistently changing trends. Our machine learning as-a-service can make predictions in real-time, allowing you to effectively manage your assets while reducing costs and improving customer experience.
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Making predictive analytics accessible for everyone

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Our Stats

TUBR Accuracy

80-85% accuracy from first processing of data (will improve over time). In comparison, traditional ML accuracy is only 75%.

Minimum Amount of Data

Traditional prediction systems require full and complete data. We need only 20% of that data to generate predictions and business insights.

TUBR vs traditional time-series ML

Traditional ML

Statistical Methodologies

Statistical ML uses large amounts of data to identify trends that have occurred in the past to determine if the same trend is going to occur again.

Model depends on data

Assumes available data to be the only variables to represent what is happening in an area.

Can’t handle chaos

Does not account for chaos in an area.

Requires lots of data

Requires the full data to make predictions.

TUBR ML

Physics Methodologies

Physics-based methodologies use information about the dynamics of the area in which it’s predicting to inform the model as to what’s happening, enabling the ML to identify a changing trend before it’s been seen with few data points.

Model built dynamically

Understands all the elements that occur in an area and brings understanding from the available data.

Accepts chaos

Accounts for chaos in an area (and in your data!).

Requires whatever data you have

Accepts sparse or partial inputs so the data you have is enough.

Three simple steps to success

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Provide your data

No manual data crunching with complete or incomplete data

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We analyse data

Our advanced algorithms are accurate with small and large data sets

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Get your predictions

In just 6 days you can get your accuracy to over 85% predictions and insights