Hexagon-ML

What Hexagon-ML is

Hexagon-ML is a web platform for model insights, development, governance, deployment, and data science competitions. Its insight tools cover what-if analysis, explainability, continuous monitoring, causal discovery, and fairness detection. Model management includes inventory, concept-drift and population-stability governance, monitoring, and deployment. Developers can use Python, R, and Julia tools, Docker-based solutions, and Active Directory integration. A visual simulator lets users change inputs, inspect predictions, compare models, and perform counterfactual analysis without code. Governance features measure discrimination, track population and feature stability, and compare predictions with actual outcomes for calibration. The platform supports enterprise and public competitions that connect organizations with data science participants around real-world problems. A healthcare case study reports setup time falling from four weeks to 30 minutes and employee participation rising by 84%. Hexagon-ML says an IBM Research competition in 2019 drew more than 250 teams and 735 submissions. Pricing is available on request.