85% of AI models don’t make it to production

Our MLOps platform helps you build and deploy Machine Learning Models into production quickly, securely, and cost-effectively

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Build with same groundbreaking open source tools that power Google , Uber , Shell etc

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Artificial intelligence and machine learning are changing the future while disrupting the present. While it is deceptively easy to launch successful AI pilots, moving toward an organization-wide program to realize the full value potential is fiendishly hard. Using ML Ops to effectively manage and govern the AI lifecycle from experimentation to production is the business’s next competitive frontier

Ritu Jyoti

Program Vice President, Artificial Intelligence Research, Global AI Research Lead, IDC

The platform for Operationalizing Machine Learning

Scale your machine learning development from research to production with an end-to-end solution that gives your data science team all the tools they need in one place​

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Accelerate Experimentation

Build high-quality models and release them to production faster, with self-serve access to the latest tools and scalable compute.

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Deliver Models to Production

Deploy models in one click on industrial-grade, auto-scaling, Kubernetes-based infrastructure.

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Monitor and Govern

Complete visibility with Real-time insights and alerts on model performance with enterprise-grade security and Governance.

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A Unified UI to manage all your data science in one place.

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7x More cost-effective infrastructure

Reduction in computing costs through efficient management of data science work loads.

12x Faster deployments

Faster and a more reliable way to deploy and improve models in production

85% Reduction in manual labour costs

Reduction in manual labour costs resulting from higher productivity of data science teams​