Data is the key input for software systems and decision-making processes.

Effective tools and engineering practices for storing, aggregating, and refining data with machine learning are essential for maximizing its value.

Data engineering solutions should be reliable, correct, and perform at scale. We apply DataOps, MLOps, and functional programming principles to make this a reality.