ModelOps Platform

Deploy, integrate, run, and monitor AI—anywhere

MLOps platform - expanded
Deploy and scale anywhere
Easy integrations
Military-grade security

Modzy is the ModelOps and MLOps software platform for businesses to deploy, manage, and get value from AI

Easy integration

Fits within your existing tech stack, with flexibility for the future. MLOps platform capabilities - extended. MLOps is deploying, scaling, and managing machine learning models. ModelOps does that for ALL AI models - ML, computer vision, NLP, and more.

ML Training frameworks

Data Pipelines & CI/CD Systems

Business applications


Modzy ModelOps and MLOPs Platform easily integrates into your tech stack

Fits Your Business Needs

Modzy Basic

Start quickly and unlock the value of running AI models in the cloud. Test out MLOps platform capabilities. Run 1000 inferences per day.

Modzy Enterprise

Platform for enterprise businesses to deploy, manage, and get value from AI. Deploy unlimited models with all platform features included

Modzy Edge

All Enterprise features and workloads plus support for multi-cloud, connected edge, and mobile edge. Deploy and run models at the edge with confidence

Modzy MLOps - Deploy & Scale Anywhere

Deploy & Scale Anywhere

Autoscale infrastructure of choice — on-premise, cloud, edge, or hybrid with deployment pipelines to common CI/CD systems.

Modzy ModelOps and MLOps platform handles all the AI deployment, monitoring, governance and continuous improvement of models in your organization

Train, Experiment and Test-Drive

Train using your favorite training frameworks and auto-pipeline into Modzy projects for full ModelOps capability. Test-drive models for accuracy, precision, and infrastructure performance.

ModelOps Platform to Manage All AI Assets

Single Pane of Glass

See all the models your organization created or licensed from leading AI companies. Workflows, approvals, auditing, performance tuning, and full governance to control costs and create value from AI.

Transparency, not guesswork

Curate different versions of models, complete with training data linage, model architectures, CI/CD integration to existing workflows, and detailed performance metrics. Transparency of model performance, characteristics, and usage over time.

Military Grade Security

Proven security for the enterprise.
Modzy addresses 354 accredited security controls from NIST 800-53, Rev. 5 that directly support FISMA Moderate and FedRAMP accreditation, and is DOD IL 6 Authorization ready.

Modzy’s drift detection for ModelOps and MLOps helps keep your AI models working as expected.

Model Drift & Re-training

Drift Detection

Specify your performance threshold limits to monitor and trigger automatic alerts when model performance deteriorates.

Retraining

Using transfer learning, certain types of models can re-train on updated data for better performance, for extensive time and cost savings.

Modzy AI Explainability for ModelOps and MLOps

AI Explainability

5x Faster than LIME or SHAP. Generate explanations of outputs at the same time the model runs, generating faster, more precise results. Results you can trust while saving time and compute costs.

Explainability for Text and Images

Modzy can explain AI results for text and image based models. Learn how our novel approach to explainability saves you compute costs, is 5X faster than open source approaches, and is available for all users.

Generate explanations of outputs at the same time the model runs, generating faster, more precise results. Results you can trust while saving time and compute costs.
Build Trust with Human in the Loop and Modzy AI Explainability

Build Trust with Human in the Loop

You can choose to have users, data scientists and business analyst submit feedback on model predictions. Add new labels, offer corrections to past predictions, and enhance the explainable results.

Adversarial Defense

Modzy adversarial defense ensures your models are robust against attacks, model probing, and poisoned data. Optional model watermarking validates provenance information for models running in production.