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.
Open Source at causaLens
Some of the most sophisticated enterprises license our platform to adopt, scale, and deploy Causal AI in the fastest and most cost-efficient way possible.
We have put the entire causal AI ecosystem in an enterprise-ready platform & have solved some of the most complex engineering problems under the hood.
Enterprises can now focus on solving their use cases quickly & at scale while we worry about the rest.
Trusted by leading organisations
The causaLens platform has empowered us to create powerful and beautiful decision applications that we rely on for critical decisions.
Gerald Mullaly, Director
Transparency & explainability of AI models requires an understanding of causality – an inherent advantage of the causaLens platform.
Wendy Harrington, Chief Data & AI Officer
Causal AI plays an important role in our investment analysis. It empowers out strategists and portfolio manager to generate alpha by identifying new causla relationships in economic, financial and alternative data, with sophisticated, adaptive and explainable models that don’t suffer from overfitting.
Michael Grady, Head of Investment Strategy & Chief Economist
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