Causal AI for Better Decisions

A platform that helps researchers and organisations move beyond correlation, understand why outcomes occur, and identify better courses of action
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  • The Challenge & Solution

The Challenge

  • Correlation does not establish causation
  • Predictive models can produce misleading recommendations
  • Causal analysis currently requires specialist knowledge, technical software and extensive manual work

The ETIA Solution

  • Automated causal discovery
  • Causal reasoning
  • Natural-language AI agent
  • Visual explanations
  • Decision support
  • How ETIA Works

Data → Causal models
→ Insights & Decisions

3 Principal Components

  • What ETIA can help answer

What could ETIA help us answer?

  • What is causing a particular outcome?
  • What would happen under a different decision?
  • Which action is most likely to improve the desired result?
  • What is the root cause of a failure?
  • What might have happened if a different choice had been made?
  • Application Areas
  • Telecommunications
  • Mobility and automotive safety
  • Healthcare and bioinformatics
  • Marketing and customer behaviour
  • Industrial systems and infrastructure
  • Scientific research
  • Project Objectives

1

Causal Discovery Engine

Design and implement a general-purpose Causal Discovery engine able to induce optimal causal models from data and answer causal queries.

2

Causal AI Agent

Design and implement product interface modes, including a Causal AI Agent, GUI and APIs, to make ETIA accessible to different user types.

3

Technical Robustness

Ensure Technical Robustness through regression testing and continuous quality assessment of ETIA.

4

High-potential Value

Validate and demonstrate ETIA in high-potential commercial environments to reach TRL 6 and beyond.

5

Go-To Market Strategy

Develop a viable business model, go-to-market strategy, product roadmap, use-of-funds plan and IP protection strategy to prepare for investment and commercial scalability.

6

Build a Community

Disseminate and market ETIA, create a community of users, and crowd-source co-development to build awareness and recognition.
  • Join the community

Join the Community

The ETIA project is building an open community of researchers, developers, industry experts and curious minds working to make causal discovery more accessible, robust and useful in the real world. Whether you want to contribute ideas, test the technology, explore new applications or simply follow the journey, there is a place for you here.

Join us in moving from correlation to understanding.