
Last month, we announced ModelOp’s acceptance into the AWS Global Startup Program, a significant milestone in our relationship with Amazon Web Services. Today, we are excited to share the next major step in that journey: ModelOp is now available for purchase directly in AWS Marketplace.
This listing makes it easier than ever for ModelOp’s customers—which include some of the world’s most complex and regulated institutions—to procure our leading AI lifecycle management and governance platform. By listing on AWS Marketplace, we are removing friction from the procurement process so enterprise leaders can focus on what matters: delivering AI initiatives to market faster, at scale, and with the confidence of end-to-end control.
Why Procure ModelOp via AWS Marketplace?
For many of our enterprise customers, modernizing the procurement process is just as critical as modernizing their tech stack. Purchasing ModelOp through AWS Marketplace offers three distinct strategic advantages:
1. Retire Your EDP Commitment Many organizations have an Enterprise Discount Program (EDP) commitment with AWS. Purchasing ModelOp through AWS marketplace allows you to leverage the budget that has already been allocated, maximizing the value of your existing cloud investment.
2. Streamlined Procurement & Speed to Value Traditional enterprise software procurement can be lengthy, often involving complex vendor onboarding and disparate billing cycles. AWS Marketplace simplifies this by using the standardized terms and contracts your organization likely already has in place with AWS. This significantly reduces negotiation cycles, helping you deploy ModelOp—and start realizing value from your AI initiatives—in a fraction of the time.
3. Consolidated Billing Instead of managing a separate invoice for your AI governance software, ModelOp charges will appear directly on your existing AWS bill. This provides a unified view of your technology spend and simplifies vendor management for your finance and procurement teams.
Enterprise-Grade AI Governance, Now More Accessible
As the use of Generative AI, Large Language Models (LLMs), and agentic systems explodes, enterprises face a critical challenge: AI is outpacing enterprise controls.
ModelOp is purpose-built to solve this. Unlike development-oriented MLOps tools or generic GRC systems, ModelOp orchestrates and governs the full model lifecycle—from intake and risk tiering to continuous monitoring and audit reporting. We provide the control tower for all Enterprise AI, ensuring that every AI initiative—whether developed in-house, by a third party, or an embedded vendor solution—is visible, compliant, and performing as expected.
By acquiring ModelOp through AWS, you gain a platform that:
- Unifies Your AI Portfolio: Manage ML, GenAI, and agentic systems in a single system of record.
- Automates Compliance: Leverage 100+ out-of-the-box tests and controls aligned to frameworks like NIST AI RMF and the EU AI Act.
- Scales Innovation: Customers report a 10x increase in speed to market and an exponential increase in models managed without adding headcount.
Built for the Cloud-Native Enterprise
ModelOp is architected to run natively within your AWS ecosystem, connecting seamlessly across your technical stack to support IT, data science, and engineering teams. We fit your cloud strategy with deep integrations that include:
- Rapid Deployment via Amazon EKS: Your IT team can deploy, scale, and manage ModelOp using standard Kubernetes orchestration tools they already trust.
- Seamless SageMaker Integration: Data scientists can continue building in Amazon SageMaker while ModelOp automates the "last mile" of governance, validation, and compliance.
- Native Data Connections: We integrate out-of-the-box with Amazon S3, Redshift, and DocumentDB, leveraging your existing data fabric for robust audit trails and performance tracking.
Get Started
Accelerating AI value requires more than just better models and solutions; it requires a better way to manage them. With our availability on AWS Marketplace, we are making it simpler for enterprises to build the foundation for responsible, scalable AI.


