DoubleML
The leading software package for user-friendly and precise estimation of causal effects. Unlock the power of modern causal analysis with enterprise-grade machine learning.
DoubleML combines the flexibility of machine learning with the rigor of causal inference.
Double Machine Learning
Unbiased estimation of causal effects by accounting for high-dimensional confounders using state-of-the-art ML algorithms.
Big Data Ready
Optimized for large-scale datasets and unstructured data, including text and images, via our cloud-native infrastructure.
Cross-Platform
Available for both Python and R, ensuring seamless integration into your existing data science workflows.
Enterprise Security
Secure, compliant, and scalable solutions tailored for tech industry leaders and financial institutions.
Real-time Inference
Low-latency causal predictions for dynamic environments like pricing and targeted marketing.
Global Scale
Deploy causal models globally with our managed cloud service, reducing DevOps overhead.
Two Ways to Causal AI
Choose the implementation that fits your organization's needs, from research-focused open source to production-ready cloud infrastructure.
Managed Infrastructure
Zero-config deployment for enterprise teams.
Research-Grade Algorithms
The latest academic advances in Causal ML.
Fast Integration
Works with your existing data lakes and warehouses.
Cloud Edition
Full-service managed platform for enterprise scale and unstructured data.
Open Source
Flexible Python and R libraries for researchers and individual data scientists.