ModelOps platform, built for results
Track all models in use across your organization within your model library. Specify model training architecture, training data information, optimal use cases and applications, performance metrics, and sample API requests and responses. Review model performance and platform usage in real-time. Set performance threshold limits for automated drift alerts. Control infrastructure usage and autoscaling to reduce latency for high-frequency jobs.
Cloud, On-premise, and the Edge – deploy AI models anywhere in minutes, not months.
ModelOps platform that autoscales depending on your needs.
Manage and monitor performance with dashboards by users, projects, or roles.
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.
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.
It's a quick and easy four step process to deploy your models to Modzy. Specify the model version, import from a Docker registry, specify the hardware requirements, model inputs, and outputs, the model content, and finally, review and save.
Modzy is robust, accessible, and secure, in addition to providing an added layer of security for models deployed via the platform. In on-premise deployments, only privileged users, such as software administrators, have access to infrastructure. In cloud-based deployments, Modzy's security credentials are augmented by the cloud providers' access controls.
Modzy addresses 354 NIST 800-53, Rev. 5 security controls that directly support FISMA Moderate and FedRAMP accreditation, and is DOD IL 6 Authorization ready.
Our patented adversarial defense solutions allow you to ensure your models are robust against attacks, scan data and maintain model integrity against poisoned data, and keep models safe against stealing attempts. Additionally, Modzy's model watermarking solutions allow you to validate provenance information for models running in production.
Our approach to explainability allows you to generate explanations of outputs at the same time the model runs, generating faster, more precise results. Not only does this give you results you can trust, it also saves you time and costs.
Our patented explainability approach shows how AI reaches decisions -- 5x faster than any other approach
Specify your performance threshold limits to monitor and trigger automatic alerts when model performance deteriorates.
Leverage our novel approach for model retraining. Based on transfer learning, our solution allows you to easily retrain models on your data for better performance, yielding major time and cost savings.