Overview
VDF AI Enterprise Platform / On-Premises
VDF AI Enterprise Platform / On-Premises

Product video
VDF AI Enterprise Platform is an enterprise AI operations platform for organizations that need to deploy, govern, and scale AI securely across their own infrastructure. The platform brings together multi-agent orchestration, secure enterprise AI agents, private knowledge retrieval, intelligent model routing, governance, auditability, integrations, and model lifecycle workflows in one controlled environment.
VDF AI is designed for enterprises that cannot compromise on data sovereignty, security, cost control, or compliance. It can be deployed in cloud, private cloud, on-premises, and air-gapped environments, allowing organizations to keep data, models, agents, and execution logs under their own operational control. Teams can connect enterprise systems, create specialized AI agents, orchestrate complex workflows, route tasks to the most appropriate models, monitor usage and costs, and maintain complete audit trails.
The platform includes four core product areas. VDF AI Networks provides the intelligence and orchestration layer for multi-agent systems, adaptive model routing, cost analytics, execution governance, and enterprise workflow coordination. VDF AI Agents provides the user-facing AI workforce interface, enabling teams to interact with AI agents, connected enterprise tools, internal knowledge, and multi-agent conversations. VDF AI Chat provides a cloud or enterprise workspace for multi-agent collaboration, content generation, agent management, document workflows, and integrations. VDF AI Data supports data preparation, model fine-tuning, evaluation, version control, and deployment of validated models into production AI workflows.
VDF AI is built for regulated and security-sensitive organizations in industries such as finance, banking, insurance, healthcare, government, defense, telecommunications, manufacturing, energy, critical infrastructure, legal services, and enterprise software. It supports private RAG, AI agent governance, LLM routing, enterprise integrations, audit logging, access controls, and deployment patterns aligned with data sovereignty requirements.
With VDF AI, organizations can move beyond isolated AI tools and build a managed AI operating layer: agents that collaborate, models that are selected intelligently, workflows that are auditable, and deployments that remain under enterprise control. The result is a secure, scalable, and cost-aware AI platform for real enterprise adoption.
Highlights
- Deploy secure multi-agent AI workflows across cloud, private cloud, on-premises, or air-gapped environments while keeping enterprise data, models, agents, and execution logs under your control.
- Orchestrate AI agents, enterprise tools, private knowledge sources, and multiple LLMs with intelligent model routing, governance, audit trails, cost analytics, and adaptive execution.
- Connect to enterprise systems such as Jira, Confluence, GitHub, Slack, Microsoft Teams, Google Drive, OneDrive, REST APIs, webhooks, and custom MCP integrations.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
Refund requests are reviewed case by case. Customers may request a refund within 14 days of purchase by contacting info@vdf.ai with the AWS Marketplace order details and reason for the request. Refunds may be approved for billing errors, duplicate purchases, or inability to access the product due to a VDF AI issue. Refunds are not guaranteed for completed services, used subscriptions, or customer-side configuration issues.
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
VDF AI Enterprise – Container Deployment
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial AWS Marketplace release of VDF AI Enterprise Platform.
Includes enterprise AI agent orchestration, private knowledge and RAG capabilities, model routing, governance, tool integrations, and support for private and on-premises deployments.
Additional details
Usage instructions
VDF AI Enterprise Platform is deployed as a coordinated multi-container application on Amazon ECS.
Subscribe to VDF AI Enterprise Platform and obtain access to the container images associated with this delivery option. Use the provided VDF AI Enterprise ECS deployment template to create the required ECS services, networking, persistent storage, and supporting services. Configure the required application environment variables and secrets before deployment. Store sensitive values using AWS Secrets Manager or AWS Systems Manager Parameter Store rather than embedding credentials in task definitions. Configure persistent storage for PostgreSQL with pgvector, Redis, uploaded files, and the VDF Networks vault. Configure HTTPS certificates and nginx for the deployment domain. Launch the ECS deployment and wait until PostgreSQL, Redis, Chat Backend, Agent Hub, Data API, Networks API, LLMFolio, and Accuracy API report healthy. Access VDF AI through the HTTPS endpoint configured for the deployment.
The deployment includes the VDF frontend, Chat Backend, Agent Hub, Data API, Networks API, Accuracy API, PostgreSQL with pgvector, Redis, and nginx. Worker, Agent Hub MCP, and LLMFolio services reuse the corresponding VDF application images with separate runtime commands.
Recommended baseline capacity is approximately 8-16 vCPUs and 16-32 GiB RAM. Production sizing should be adjusted according to workload, concurrency, model integrations, and data volume.
Detailed deployment, configuration, upgrade, backup, security, and troubleshooting documentation is provided with the deployment template.
Resources
Vendor resources
Support
Vendor support
VDF AI provides enterprise support for deployment, configuration, onboarding, integration, troubleshooting, upgrades, and production operation of the VDF AI Enterprise Platform.
Support is available through email and scheduled technical sessions. Enterprise customers can receive assistance with AWS deployment planning, private cloud configuration, on-premises installation, air-gapped deployment preparation, identity and access configuration, integration setup, agent configuration, model routing setup, governance policies, and production readiness review.
For support, contact:
Email: info@vdf.ai Website: https://vdf.ai
Support response times and service levels may vary depending on the customer subscription tier, private offer agreement, or enterprise support contract.
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.