Rapidly build and embed machine learning pipelines in software and web applications.
From prototype to production
Move machine learning projects from notebooks to production in record speed.
The process of taking a modern machine learning application from research and ad-hoc code to a robust, scalable platform remains a key challenge for experienced data science and engineering teams. Dirigible ML simplifies this process with a complete suite of tools to manage, deploy, and monitor your machine learning applications. With enterprise-grade security and instant deployment to cloud-native services, taking your machine learning application from prototype to production has never been easier.
Complete Toolkit
Dirigible ML provides a complete framework for mission-critical tasks including model versioning, API deployment, scaling and distribution, security, and monitoring.
Cloud-Ready
Deploy and update models instantly with Dirigible ML's seamless translation of your local Docker-based environment to native cloud services.
Flexible
Leverage easy to use and extensible tools for your custom machine learning products and solutions to speed development and deployment.
We have pioneered novel approaches based in probabilistic modeling to assess and improve the effectiveness of marketing spend.