ModelOp Center

ModelOp Center

Enterprise ModelOps Software to
Deploy, Monitor and Govern 
your AI/ML Models

Enterprise ModelOps Software to

Deploy, Monitor and Govern 

your AI/ML Models

Why you need

ModelOp Center

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Leading Analysts’ View

"Organizations continue to struggle getting their AI and data science models deployed to production and managed once they are there. ModelOps (Model Operations) aims to reduce the burden of deploying and managing models in production."
Gartner “Assessing DevOps in Artificial Intelligence Initiatives”
Carlton Sapp, 21 February 2020

Gartner

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Who Benefits

from

ModelOp Center

Who Benefits from

ModelOp Center

ModelOp Center is the Enterprise ModelOps solution that enables data scientists, IT professionals, and business teams to quickly deploy models developed with any data science tool, on any platform, then continuously monitor model performance and fully support governance and compliance

Executives

Drive overall results by scaling the use of AI across the enterprise in compliance and transparency

Data Scientists

Freedom of choice to use the tools they need to solve any analytics problem

IT Professionals

Standardize the processes and technical interfaces for operationalizing AI models

Business Teams

Innovate faster and improve the performance of models within critical applications

What people are saying about​

ModelOp Center

What people are saying about ModelOp Center
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The unique business process approach of ModelOp Center not only solves the deployment, monitoring and governance of models, it also creates the bridge between different worlds: Operations, IT and Data Science.
What people are saying about ModelOp Center
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As a Business Unit Leader, I was struggling to measure the ROI from AI projects. ModelOp Center is a true business accountable solution that provides us with the ability to add business KPIs and thresholds to each model and manage and manage them overtime.
What people are saying about ModelOp Center
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Being a traditional bank with legacy systems, we needed a product that could keep us competitive with the fintech companies, and incorporating Machine Learning models into existing programs, and managing all the models we have would have not been possible without ModelOp Center.
What people are saying about ModelOp Center
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The automation aspect of ModelOp Center is saving us resources and is giving us the peace of mind knowing that our AI programs are under control and any compliance issue can be addressed quickly.
What people are saying about ModelOp Center
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Being able to define a Model Life Cycle for each model, with triggers, threshold and alerts is the best feature of ModelOp Center, as it saves us resources, and it prevents manual errors and Finally, we have a single pane of glass on the entire enterprise models in production, with a 24x7 control over their life cycles.
What people are saying about ModelOp Center
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With ModelOp Center the frustrating process of deploying and maintaining models is over. I can create any model with any language or platform, onboard it and make any changes over time.
What people are saying about ModelOp Center
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In a fast-moving space such as AI, we wanted to avoid any lock-ins, ModelOp Center agnosticism is giving us this flexibility and we didn’t have to rip-and-replace our existing AI investments.
What people are saying about ModelOp Center
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For DevOps people like myself, it was unconceivable the lack of consistency in deploying and managing Data Science products. ModelOp Center gave discipline to the operationalization of AI/ML models, similarly to what DevOps did for software.
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Start now to Scale and Govern Your Enterprise AI initiatives

ModelOps Assessment

Align leadership, organization and processes against ModelOps best practices

Speed to Value

Put 1-2 priority AI/ML models in business with ModelOp Center​

Scale and Govern

Onboard all your enterprise AI/ML models on ModelOp Center, ensuring 24×7 monitoring, compliance, visibility and full governance.​