Deploy anywhere you need AI, and maintain control of costs, usage, and security
Make using AI easy for your organization. Integrate Modzy with your existing data pipelines, model training tools and frameworks, CI/CD pipelines, and business applications to ensure control. Easily run, use, monitor, and update all models in production through the AI layer.
Modzy Platform — integrates with your existing tools Request Demo
15X faster AI deployment and the ability to add AI power to any business application with fewer than five lines of code. Monitor performance against pre-defined KPIs to track ROI.
Automated model lifecycle management allows teams to be more productive in other ways. Generate cost savings through model sharing and reuse, as well as better infrastructure management.
ModelOps for enterprise - add AI power wherever you need it. Deploys to your infrastructure, complies with your security policies, and connects to your existing tools. Open architecture to allow for future integrations and flexibility.
Save Development TimeDrastically reduce the time it takes to see value from AI by integrating Modzy into your tech stack.
Their ease of integration is great. We also like the ability to run different models with a simple integration.
Highly satisfied with the scalability and ease of use of the machine learning APIs. The documentation was concise, easy to use, and understand. Installation in ArcGIS took less than a minute and the performance was very fast with results instantly displayed on the map window.
Modzy’s SDK was very simple to work with and it made integrating their ML capabilities into my Web app very easy. Working with the platform is a pleasure!
Hugely satisfied with Modzy to manage my team’s machine learning inferences and auditing.
Full report from Gartner available for a limited time. Learn how
ModelOps can overcome challenges with deploying and managing AI in
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Download to learn more about how ModelOps is unlocking value with AI at
Industry trends report from Ipsos Research. Discover how organizations
are investing in AI, barriers they may face, and how they view the
future of AI and its impact on their work.