We design rigorous experiments, train production-grade AI models, and build the data systems behind decisions that move money, shape policy, and protect people.
From models to intelligence. From narratives to decisions. From pilots to scale.
We capture high-fidelity signals from noisy environments using sensor networks, real-time pipelines and rigorous data engineering. Measurement is the part most teams skip; we treat it as the foundation.
We isolate causal effects from correlation using randomized experiments, quasi-experimental designs and modern econometrics. We pre-specify hypotheses and we publish our assumptions.
We develop computer vision and machine learning systems that translate evidence into prediction. Every model ships with a documented evaluation protocol and known failure modes.
We deploy infrastructure and applied AI prototypes into production. The deliverable is not a slide deck; it is a system that an institution operates after we leave.
Randomized trials, difference-in-differences, regression discontinuity, synthetic controls, instrumental variables.
Probabilistic sampling, stratification, weighting, mixed-mode survey instruments and field operations.
Object detection, tracking and image segmentation. Edge and cloud deployment.
Sensor integration, on-device inference and remote monitoring at field scale.
Time-series models and probabilistic prediction for operations and planning.
ETL pipelines, real-time streams, cloud data warehouses and infrastructure-as-code governance.
Model serving, monitoring, retraining, lineage and reproducibility. Production AI as a discipline, not an afterthought.
Operator-facing dashboards and analytical tools designed around the actual workflow of the people who use them.
We build end-to-end testing frameworks for institutions. From A/B testing digital products to implementing Randomized Controlled Trials (RCTs) for public policy.
Deploying deep learning architectures to extract structured data from the physical world. Our computer vision pipelines provide real-time spatial intelligence.
Designing scalable cloud architectures and IoT integration pipelines to transform raw telemetry into operational intelligence.