Esklar is a Data Lab that designs rigorous experiments, causal models, computer vision systems, and real-time data infrastructure, translating complex data into actionable insights for institutions facing uncertainty and high-stakes decisions.
From measurement to models. From narrative to decisions. From pilots to scale.
Capturing high-fidelity signals from noisy environments using sensor networks, real-time pipelines, and rigorous data engineering.
Isolating true causality from correlation through randomized experiments, econometrics, and robust statistical evaluation.
Developing computer vision architectures and machine learning algorithms that translate evidence into predictive intelligence.
Deploying analytical infrastructure and applied AI prototypes into production to drive institutional transformation.
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.