- Our technology uses Well Principled math and computer science to substitute automation for otherwise expensive, manual data science work of constructing and critiquing a model.
- Our solution is robust to outliers, automatically selects relevant variables & functional forms and quantifies interactions. We elegantly handle data with categories, such as product lines of many related SKUs.
- Demand more from your forecasts. Unlike less sophisticated "machine learning" (ML) models, we bring rigor to the uncertain reality of business decision making. All our models provide a quantitative estimate of prediction uncertainty so you can decide with confidence.
- Our models help you understand the drivers of change, where again ML falls short. Was it advertising or R&D spend that drove the top line, and how sure are we it was indeed R&D? To achieve this, all our models estimate parameter uncertainty: how sure are we that a given factor is driving outcomes?