Sold by: ues.io
Deployed on AWS
Build and govern AI agents, applications, and data workflows on one secure, MCP-native platform. ues.io gives enterprises full ownership of their infrastructure, code, and model choice with self-hosted or managed deployment, multi-tenant architecture, and no black-box lock-in. Designed for regulated industries and teams that need AI acceleration without losing control.
Overview
ues.io - The Secure, MCP-Native Platform for Enterprise AI Agents
ues.io is an agentic enterprise platform for building, deploying, and governing AI-native applications, workflows, and MCP agents - without giving up control of your infrastructure, data, or model choice.
Most AI platforms force a trade-off: move fast with a black-box SaaS tool, or slow down to get the governance, auditability, and data sovereignty your enterprise requires. ues.io removes that trade-off. It's a single, secure platform where product, IT, and security teams can build AI agents and applications that are fast to ship and fully governed - self-hosted, managed, or hybrid, on your terms.
Why enterprises choose ues.io
Full ownership, zero lock-in. Own your infrastructure, code, runtime, and model choice. Switch AI providers or move between cloud and self-hosted deployment without re-architecting your applications. MCP-native by design. Build and orchestrate AI agents that connect to any MCP-compliant server - internal systems, SaaS tools, or custom services - with consistent permissions, audit trails, and data governance applied across every connection. BYO-LLM. Bring the model provider your organization already trusts (or is required to use), and change it later without rebuilding your applications. Multi-tenant architecture. Package and distribute applications and managed packages across business units, customers, or partners from one platform - built for organizations that need to scale AI beyond a single team. Deployment flexibility. Run self-hosted for maximum data sovereignty, or managed for speed - both on the same underlying platform, with no feature gap between them. Built for governed environments. Designed for organizations where auditability, jurisdiction, and compliance requirements shape how AI gets deployed - not bolted on after the fact.
What you can build on ues.io
Internal AI copilots and assistants grounded in your own systems and data Agentic workflows that automate multi-step business processes across departments Customer-facing AI applications with enterprise-grade access control Legacy system modernization - wrapping existing platforms with modern, AI-native interfaces Governed integration layers connecting AI agents to core business systems
Who it's for
Enterprises, regulated industries, and platform teams that need to move fast on AI without losing control of where their data lives, which models they use, or how their agents are governed - including organizations with self-hosting, data-residency, or vendor-independence requirements.
Highlights
- Own your infrastructure, code, runtime, and model choice, nothing locked behind a vendor's black box. Self-host, run managed, or mix both on the same platform, without re-architecting your applications. Switch AI providers (BYO-LLM) at any time without rebuilding what you've already deployed.
- Build and orchestrate AI agents natively on the Model Context Protocol. Connect to any MCP-compliant system, internal, SaaS, or custom, through one consistent layer. Apply permissions, audit trails, and data governance uniformly across every agent and connection.
- Meet auditability, jurisdiction, and data-sovereignty requirements by design, not as an add-on. Package and distribute applications across business units, customers, or partners with multi-tenant architecture. Deploy AI acceleration without ceding control to a single provider or platform.
Details
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Delivery method
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Small Enterprises $100/Month | For small businesses. | $100.00 |
Medium Enterprises $500/Month | For most business use cases. | $500.00 |
Large Enterprises $5000/Month | For mission critical sites. | $5,000.00 |
Dimensions summary
You choose from three monthly contract tiers based on your organization's size and needs. The Small Enterprises tier fits small businesses. The Medium Enterprises tier covers most business use cases. The Large Enterprises tier supports mission-critical sites. Each tier is billed monthly at a set price. As your requirements grow, you move up to a tier that matches your scale. All three provide access to the same platform for building and governing AI-native applications, workflows, and agents. The tiers differ by intended usage level rather than by separate feature sets.
Top-of-mind questions for buyers
Each tier bills at a set monthly price for its intended usage level. When your needs outgrow one tier, you move up to the tier that matches your scale. The transition changes your monthly charge to the new tier's price. The tiers differ by usage level, not by separate feature sets.
All three tiers give access to the same platform for building and governing AI-native applications, workflows, and MCP agents. You can deploy on your own infrastructure, connect external AI models, and manage version control. The tiers set your usage level and monthly price, not which capabilities you receive.
This is a monthly contract. You commit to a chosen tier and pay its set price each month. The charge does not vary with hourly usage or resource activity. It stays fixed at the tier price for the billing period you selected.
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Vendor refund policy
Refunds considered on application: support@ues.io
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
ues.io provides business-hours support for all AWS Marketplace subscriptions, with next-business-day response for Priority 1 (critical) issues. Support covers platform issues, deployment guidance, and general product questions for your ues.io-hosted environment. Platform availability is monitored and managed directly by ues.io as an ongoing operational commitment, separate from ticket-based support.
For customers requiring faster response times or 24-7 coverage, ues.io offers upgraded support tiers (including named technical account management and 1-hour Priority 1 response) outside of Marketplace - contact us to discuss enterprise support options.
Support contact: support@ues.io
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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