About

Living Models is a causal decision-support architecture built for organizations that need to reason about interventions, not just describe historical patterns. It is causal, counterfactual, continually updated, and treatment-oriented.

Team

Living Models was founded by Nik Bear Brown. Chris Selland is a contributor to the project. Together they bring experience in AI research, causal inference, and strategic decision-making to the mission of building decision intelligence infrastructure.

Mission

Most analytics systems are built to describe the past. Living Models is built to reason about what happens when you change something — encoding mechanisms, not correlations, and producing ranked interventions evaluated by expected value.

What We Build

Living Models develops causal decision-support tools — the Knowledge Acquisition Tool for structured expert interviews, counterfactual reasoning engines, and treatment-oriented output systems that rank interventions against counterfactual trajectories.

Connect

Interested in Living Models? Read the series on Substack or reach out at hello@livingmodels.org.