Experts Opinion

Strategic decisions demand expert guidance from practitioners who understand both causal inference theory and business reality. Our team of PhD economists, statisticians, and machine learning researchers works directly with your organization to solve complex data challenges where stakes are high and methodology matters.

We applyCausal Machine Learningto solve complex business challenges.

We provide expert consulting on research design, methodological validation, and strategy for analytics initiatives. When you're uncertain whether A/B testing, observational causal inference, or experimental economics is the right approach for your problem, we guide you through the tradeoffs. We review analyses performed by your team, advising on potential biases and hidden assumptions. We design custom experiments or build bespoke causal inference models for problems that don't fit standard templates, like estimating peer effects, quantifying long-term impacts, or measuring spillovers in network settings.

Fortune 500 companies consult with us when launching major initiatives requiring statistical rigor that can't be delegated to standard teams. Startups use our expertise to avoid expensive analytical mistakes before they scale. Research organizations benefit from our knowledge of cutting-edge causal inference methods published in top academic conferences. We've guided companies through regulatory challenges, FDA submissions, and audits where the credibility of statistical methods directly impacts approval and liability.

Engagements typically involve 10-20 hours of expert time structured around your timeline and decision points, making world-class expertise accessible without requiring permanent headcount.