BDC enhances the decision-making intelligence of enterprises by introducing specialised Causal AI to help unlock the “why” within your data.

Causal AI works hand in glove with machine learning (ML) practices - it does not replace, it enhances. BDC goes beyond traditional correlation-based analytics to identify the true causal relationship and directionality of variables within your dataset.

Data analytics built on a foundation of true cause-and-effect relationships presents an opportunity to add business efficiencies and allow more accurate and prudent decision making.

Enhancing Decision Making Intelligence Through

Harnessing Human Domain Expertise

Most modern data analytic approaches are based on correlations (not causations) which ignore human domain expertise and can produce inaccurate analysis for decision making.

BDC's engagement model incorporates human domain expertise to be the foundation and a key consideration to enhancing data outputs.

True Causation

BDC goes beyond correlations and through our discovery and causal structuring services, we help identify true causation within your data.

This provides a strong foundation for enterprises looking to improve business systems, increase safety, drive profitability and sustainability, perform retrospective analysis, what-if scenarios and credit attribution

Trusted and Reliable outputs

BDC's Causal AI solutions have an impressive track record of delivering value across many industries that are seeking to leverage the unknown power within their data. Please go to our 'Case Studies' page to learn more.

Proven Case Studies

Oil and Gas
10 million USD per month productivity increase
Viticulture & Water Efficiency
Optimising irrigation and water efficiency to help maximise yields
Energy Efficiency in Data Centres
Causal Identification of Maintenance System Cost Savings Opportunities
Mining & Energy Efficiency
20% Electricity savings on High Capacity SAG Mineral Grinding and Processing Plants.
Oil and Gas
10 million USD per month productivity increase
Viticulture & Water Efficiency
Optimising irrigation and water efficiency to help maximise yields

What Experts Say

Professor Simeon Simoff
Dean School of Computing, Engineering and Mathematics
Western Sydney University

“In twenty plus years I have been undertaking substantial research (e.g. over 300 publications) and been fortunate to supervise the research of many others. By all standards this is a breakthrough technology relevant to such a range of industries. This innovation has application potentially wherever a business or government enterprise has reliance upon systems that perform monitoring and analysis of data, real-time or historical.”

Contact us

Looking for answers in your Data? Get in touch

Maximising hidden value within datasets to enhance intelligent decision making.