Vertesia is a low-code, agentic AI platform for enterprise teams to rapidly build, test, and operate AI applications and autonomous agents.
Vertesia goes beyond simply adding AI capabilities to a system; Vertesia drives process transformation by infusing AI into the core of your business with flexibility, precision, and the fastest time to value.
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Highlights
Content Prep for RAG: An intelligent content processing engine to automatically prepare unstructured content for RAG, providing knowledge and long-term memory for AI tasks and agents.
AI Interactions: Configurable AI interactions to automate and enhance business processes, with structured inputs/outputs and support for any inference provider or model family.
Agentic Workflows: Durable workflows for integrating long-running, advanced AI tasks with enterprise processes and systems; supporting the most advanced agentic solutions.
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 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.
You buy the Vertesia Platform through an annual subscription with two contract options: Pro and Enterprise. Each is a yearly commitment priced per unit, and both list a starting price. You pick the tier that matches your needs, then choose your unit quantity. Pro suits smaller-scale use, while Enterprise supports larger deployments. Pricing scales with the number of units you commit to for the year. The listing does not break out per-feature charges; you commit to one tier annually and scale by unit count.
Top-of-mind questions for buyers
What distinguishes the Pro tier from the Enterprise tier in terms of scale?
Both tiers give you the same AI-native content platform. Pro fits smaller-scale content operations. Enterprise supports larger deployments. The platform's serverless, modular architecture scales whether you manage thousands or billions of documents. You pick the tier that matches your content volume and deployment needs, then commit annually.
Does the annual subscription include the cost of the AI models the platform runs?
The platform is model-agnostic and connects to over one hundred generative AI models. Your subscription covers the Vertesia Platform itself. Model usage is metered separately, since AI providers charge per token for input and output. You can route tasks across providers to manage that separate model cost.
How does cost behave when a workflow pauses or waits on a long-running task?
The platform runs on a durable workflow foundation. A process waiting days for a human reviewer consumes no compute while it waits. Agents pause when provider capacity is unavailable and resume when it returns, avoiding wasted retries. This affects underlying compute use, not your annual subscription tier.
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