Relying on one particular AI model, technique, or approach can lead to limitations in perspective, adaptability, and overall performance. Composite AI leverages the strengths and outputs of classical and emerging methods and combines them with domain expertise to ensure our models are adaptable, flexible, and effective.

Ensuring transparency and explainability of business decisions is of utmost importance for any organization, particularly those in the regulated domains we operate in. At Quantexa, explainability drives trust and underpins responsible AI. We address explainability and trust through our technology and governance practices, meaning both technical and non-technical teams can easily grasp the context they have established, explain the obtained results, and validate the predictions and decisions made with ease.