Build the foundation that makes intelligent systems work

Data & Decision Engineering covers the full stack from raw data to business decisions: governed data pipelines, analytical and predictive models, optimization engines, and the decision support tooling that puts insights into operators' hands. We build the infrastructure that both intelligent product features and business operations depend on.

Both — and we're transparent about which approach fits each problem. Many structured decision problems (forecasting, scoring, optimization) are better served by classical statistical and machine learning models that are cheaper, faster, and more explainable. We use modern approaches including large language models where they genuinely add value, and we document the reasoning behind every technology choice.

Yes. We integrate with your existing data platforms, warehouses, and tools — Snowflake, Databricks, BigQuery, Redshift, Airflow, and others. We build on what exists, fill the gaps, and establish governance where it's missing.

Industries with complex operational decisions and large data volumes: insurance (risk scoring, pricing optimization), financial services (fraud detection, portfolio analysis), logistics (demand forecasting, route optimization), retail (inventory management, customer analytics), and manufacturing (predictive maintenance, quality optimization).