Daterial is a data science and AI consultancy working at the intersection of analytics, machine learning, and decision science.
We support organizations across a wide range of analytical needs—from foundational data projects to advanced, non-standard decision challenges—where off-the-shelf solutions fall short.
Our work is informed by strong academic foundations and ongoing collaboration with data scientists at Bachelor’s, Master’s, and PhD levels across multiple university programs.
This allows us to combine methodological rigor, contemporary research insight, and practical implementation experience—bridging theory and real-world constraints.
We approach data science as a decision-making discipline, not a purely technical exercise.Every engagement is shaped by the client’s operational context, risk tolerance, data maturity, and decision horizon—ensuring results are interpretable, actionable, and measurable.
What defines our approach
Methodologically rigorous, not only tool-driven
Transparent and interpretable models where decisions matter
Solutions designed for real constraints, not idealized data
Comfortable with uncertainty, complexity, and trade-offs
Whether supporting early-stage analytical foundations or addressing complex, high-impact decisions, we work as a long-term analytical partner—not just a solution provider.
