Our 1st Breakthrough: Explainable AI (XAI) in Dynamic Systems

Decodea’s proprietary algorithms mimic high cognitive functions to reveal the WHY behind AI recommendation systems. 

Our XAI Technology Highlights

Our XAI Technology Highlights

Modelling human thinking

Modelling how a human would explain AI recommendations

Operating in dynamic systems

Explanations are situation-specific,  and not statistical

Identifying high-level concepts

Deduction chains & causal relationships of concrete situations

Zero performance trade-off

The explanations are independent of the AI system in hand

Solving a Real Problem

“72% of executives report that their organizations seek to gain customer trust and confidence by being transparent in their AI-based decisions and actions.”




Markov processes

Chess as the Research Playground

We develop our algorithms through Chess because it is an ideal AI research playground for investigating and modelling human reasoning in complex situations. Our first debut product is DecodeChess, the first AI chess tutor that combines the merits of a chess program and a human master.  

Gertner: Explainable AI is a Top Tech Trend

“AI models are increasingly deployed to augment and replace human decision making. However, in some scenarios, businesses must justify how these models arrive at their decisions. To build trust with users and stakeholders, application leaders must make these models more interpretable and explainable.”

Gertner, 2019 (source)

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