A MACHINE THAT PREDICTS THE GLOBAL ECONOMY IN REAL-TIME


×

The Next Generation of Predictive Technology for Complex and
Dynamic Systems


Request a demo to optimise your business outcomes

×

CLPU - causaLens Predictive Unit

Autonomous with respect to both data and predictions
Discovers valuable data.

Cleans data in real-time.

Predictions in real-time

Scalable deployment on any device.

Dynamic systems

Seamlessly adapts to a changing world.


Self-configurable machine learning code
Trained on proprietary datasets

Using the process of machine learning.

Automated Machine Learning

Driven by a novel and proprietary combination
of genetic algorithms and machine learning.

Specialised in Time-Series

Complex and dynamic systems manifest themselves
in the form of time-series.

×

USE CASES

Energy

At least $400 billion per year

Up to 10% electricity saving in the US through more accurate demand predictions.

Asset Management

At least $500 billion per year

Improving returns by only 1% would lead to half a billion dollars in value.

Food Production

At least $500 billion per year

Food waste amounts to $1 trillion. Half could be saved if we could predict microclimate and demand.

Insurance

At least 15% decrease in costs

Predict claim development, amount per claim, business defaults and macro-economic indicators.


Oil and Gas

At least $200 billion in operational savings

By improving operations in midstream (transportation and storage optimization) and downstream (supply and demand predictions).

Healthcare

At least 15% saving in operational costs

By improving staff and bed allocation and predicting diseases spreading in real-time.

Transport and Logistics

At least 1-2% EBIT improvement

Optimize operations and transportation cost by predicting cargo volumes and demand.

×
×

CONTACT


Work.Life Hammersmith, 174 Hammersmith Rd, London, W6 7JP
info@causalens.com