VDF AI

FreeStarting price

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About VDF AI

VDF AI provides an enterprise-grade platform for deploying and governing AI agents entirely within an organization’s own infrastructure or in a managed cloud environment. The platform enables orchestration of complex workflows, intelligent routing of tasks across multiple models, and execution of private retrieval-augmented generation (RAG) systems. It supports integration with existing enterprise systems including models, APIs, databases, and knowledge bases without requiring migration to a closed stack. VDF AI emphasizes data sovereignty, allowing organizations to keep all data, models, and agents on-premises with no external API dependencies unless explicitly permitted. The platform includes built-in governance, cost tracking, and auditable operations, supporting both cloud-based and self-deployed deployments. It is designed for industries such as finance, healthcare, government, insurance, and critical infrastructure where control, security, and compliance are critical.

Key features

Orchestration of multi-agent workflows
Private RAG execution
Intelligent model routing
Built-in governance and auditing
Cost tracking and optimization
Integration with existing enterprise systems
Self-improving network optimization
On-premises and cloud deployment options

Use cases

Deploying production-grade AI agents in regulated industries
Building complex workflows across multiple specialized agents
Running private AI systems with full data control for compliance

Pros

Supports both managed cloud and fully on-premises deployment
Built-in orchestration for complex multi-agent workflows
Intelligent model routing based on task complexity and cost
Zero external API dependencies in on-premises mode
Designed for data sovereignty and compliance

Cons

No free tier beyond a starter plan
Requires Docker for on-premises deployment
Limited to enterprise-focused use cases

Frequently asked questions about VDF AI

What is VDF AI and what does it do?

VDF AI is an enterprise-grade platform for deploying and governing AI agents entirely within an organization’s own infrastructure or a managed cloud environment. It enables orchestration of complex workflows, intelligent routing of tasks across multiple models, and execution of private retrieval-augmented generation (RAG) systems while maintaining data sovereignty.

Who is VDF AI designed for?

The platform is designed for industries such as finance, healthcare, government, insurance, and critical infrastructure where control, security, and compliance are critical. It suits organizations that require on-premises or private cloud deployments with full data control.

How does VDF AI handle data sovereignty and security?

VDF AI allows organizations to deploy fully on-premises with zero external API dependencies unless explicitly permitted. All data, models, and agents remain within the organization’s environment, ensuring complete data sovereignty and security.

What deployment options are available with VDF AI?

VDF AI offers two deployment options: Managed Cloud, where the platform is hosted and maintained by VDF AI, and Self-Deployed On-Premises, where the full platform is deployed within the organization’s own infrastructure or private cloud.

Does VDF AI support integration with existing enterprise systems?

Yes, VDF AI works with existing enterprise systems, including models, APIs, databases, and knowledge bases, without requiring migration to a closed stack. It connects seamlessly with an organization’s current infrastructure.

How can I get started with VDF AI?

You can start with VDF AI in the cloud in minutes using the Free Starter plan, or deploy the full platform on-premises through the VDF AI Enterprise Portal or AWS Marketplace. Both options allow you to begin building and deploying AI agents quickly.