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.
JOIN US
We are building the next generation of predictive technology for complex and dynamic systems.
It is very hard and super fun.
We accept applications from the brightest scientists and
engineers all year round.