Precision Causal Modeling™ turns the data child- and family-serving organizations already have into real-time, case-specific evidence, so leaders and practitioners can act on what actually helps the child in front of them.
Child- and family-serving systems hold vast administrative data. Yet leaders and frontline practitioners still lack real-time, case-specific evidence about which interventions work for a specific child, and the capacity to act on it. Decisions default to population averages and retrospective reports that arrive too late to help.
Precision Causal Modeling™ (patent-pending) is the engine. The Precision Learning System™ is the full platform we are building around it, moving organizations from one-off studies to a continuous, evidence-driven operating rhythm.
Human-guided machine learning on existing data determines what works, for whom, and under what conditions, beyond population averages.
A continuous platform that puts tailored, actionable evidence in the hands of leaders and practitioners, where and when decisions are made.
Real deployments across residential treatment, elder care, and research, delivering measurable gains in insight, speed, and outcomes.
We are commercializing where we have the deepest traction, the strongest evidence, and a defensible edge, then expanding along a pipeline-led growth model.

BCT Analytic Solutions is a subsidiary of BCT Partners, a multidisciplinary firm that has grown to more than $35M in annual revenue and delivered research, analytics, and technology for some of the most demanding institutions in the world.
We are raising $1.95M in growth capital to scale Precision Causal Modeling™ across child- and family-serving systems. Let's talk.