Our Decision Intelligence Platform

Turn ambiguous, siloed data into the most trusted, reusable resource for your organization.

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Overview Capabilities Why we’re different Benefits Where we help Industries Get started

The platform to transform your decision-making

Unify

Integrate any source at scale to build a trusted data foundation

Create Context

Reveal relationships and insights, create stronger analytics

Decide & Act

Augment and automate decision-making for actionable insights

Decision Intelligence Platform

Open and modular for outcome-driven solutions

Unify Data

Create Context

Decide & Act

Integrate any source at scale

Accelerate your data onboarding with low-code, scalable, high-performance data preparation and ingestion.
Connect all internal and external data at scale with unprecedented accuracy for multiple use cases.
Improve data quality as part of the unification process.

MAKING AI HUMANLY POSSIBLE

The Quantexa AI Stack

Our AI capabilities are built on three core differentiating principles:

Context-based learning

Context is crucial for AI to make informed decisions. By incorporating context-based techniques, we can surface more data which enables us to answer more questions and understand the connections relationships, and patterns in data. This derived context serves as the foundation for our AI's ability to make precise predictions that inform critical business decisions.

Composite AI

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.

Explainability and trust

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.