decisionOS gives you the simplest way to ship decision-making applications to the business. decisionApps are written in pure Python and surface actionable recommendations. Your business partners do not want another data science dashboard. Therefore, decisionApps are fully interactive, natively support causal AI components, and connect to enterprise systems; allowing them to focus on making better decisions- faster.
decisionOS
Pave the way to trusted, collaborative, and actionable decision-making powered by Causal AI.
Elevate your decision-making with decisionOS
Discover cause and effect to drive better decision-making.
Current AI techniques rely on learning correlations, leading to misleading predictive insights and eroding trust between data scientists and end users:
- Causal Discovery: decisionOS gives you the tools to discover the cause and effect relationships within your data.
- Causal Model Discovery: decisionOS builds trust using white box causal models, alongside model guardrails and human expertise to prevent unexpected behaviors.
- Decision Intelligence Engines: Uniquely allowing you to go beyond predictions by translating model output into quantitative, actionable recommendations.


Don’t simply track accuracy. Measure ROI.
decisionOS extends MLOps to deploy, monitor and trust decision workflows. By connecting to your enterprise data and systems of record, decisionOps allows you to orchestrate, trust, and measure the causal impact of the decisions which you take. Ultimately, giving you the ability to calculate the ROI of your decision-making.

Frequently Asked Questions
Ways to get started
Attend Bi-weekly Demo
Learn about different applications powered by decisionOS for enterprise decision-making
Get startedResources
Read our white papers, case studies, and research to gain new understanding in the world of Causality.
Get started