Start with secure AI agents. Scale into governed AI networks. Deploy on your own infrastructure when control, compliance, and sovereignty matter.
VDF AI gives teams a predictable way to adopt enterprise AI without losing control of data, models, cost, or governance.
Flat platform pricing. No vendor lock-in. Your AI stack, under your rules.
Start with secure AI agents, expand into governed AI networks and code workflows, and move to enterprise deployment when you need on-premises control, monitoring, and custom integrations.
For teams starting with secure AI agents and connected knowledge workflows.
For teams building governed AI workflows, code assistance, and repeatable AI networks.
Everything in Starter, plus:
For organizations that need on-premises control, auditability, monitoring, custom integrations, and enterprise-grade rollout support.
Everything in Professional, plus:
Enterprise pricing is provided on request based on deployment model, integration scope, onboarding, and support requirements. Estimate your savings with the AI Savings Calculator.
Most AI platforms charge in ways that become unpredictable at scale: tokens, credits, executions, seats, add-ons, model usage, hidden limits, or cloud infrastructure markups. VDF AI separates the platform from your model and infrastructure choices. You pay for the governed AI operating layer. Your organization decides which models to use, where they run, and how data is handled.
Starter and Professional use simple per-user pricing so teams can start small and grow without procurement complexity.
Enterprise licensing supports managed cloud, private cloud, on-premises, sovereign cloud, and air-gapped environments.
Use OpenAI, Anthropic, Gemini, Mistral, Llama, or your own on-premise models. VDF AI routes work based on quality, cost, latency, and policy.
VDF AI helps teams route simple tasks to efficient models and reserve expensive models for work that truly requires them.
Every prompt, tool call, retrieval step, model response, and workflow execution can be logged, monitored, and governed.
| Capability | Starter | Professional | Enterprise |
|---|---|---|---|
| Secure AI workspace | Included | Included | Included |
| VDF AI Agents | Included | Included | Included |
| Adaptive, Manual, and Agent modes | Included | Included | Included |
| 20+ integrations | Included | Included | Included |
| Custom agents | Included | Included | Included |
| VDF AI Networks | Basic workflows | Networks Core | Unlimited Networks |
| Visual network builder | Limited | Included | Included |
| Network limit | Starter workflows | Up to 50 networks | Unlimited |
| VDF Code Assistant | — | Included | Included |
| Private RAG | Standard | Advanced | Enterprise / on-prem |
| MCP server support | — | Limited / add-on | Included |
| Model routing | Basic | Advanced | Policy-driven |
| Governance controls | Standard | Advanced | Enterprise-grade |
| Audit logs | Basic | Advanced | Immutable enterprise logs |
| Monitoring and cost analytics | — | Included | Advanced |
| Deployment | Managed cloud | Managed or private cloud | Cloud, private cloud, on-prem, sovereign, air-gapped |
| Custom integrations | Add-on | Add-on | Included / custom scope |
| SSO | Add-on | Add-on | Included |
| Support | Standard | Priority | Enterprise SLA |
| Training and onboarding | Self-serve | Guided onboarding | Dedicated rollout program |
Fastest way to start. Best for teams that want VDF AI managed by us.
Deploy in your AWS, Azure, or GCP environment. Best for organizations that want cloud convenience with stronger data control.
Run VDF AI inside your own infrastructure. Best for regulated enterprises that need sovereignty, auditability, and internal control.
Operate VDF AI in isolated environments with no external dependencies. Best for defense, critical infrastructure, and highly restricted data environments.
Workspace setup, governance configuration, team training, and first workflow deployment.
Connect VDF AI to internal tools, private APIs, databases, document systems, and proprietary workflows.
Configure audit trails, approval gates, model policies, access controls, and compliance reporting workflows.
Set up secure retrieval across internal documents, tickets, repositories, knowledge bases, and structured data.
Analyze your current AI stack and identify where model routing, on-prem deployment, or workflow consolidation can reduce cost.
No. VDF AI platform pricing is based on users and enterprise licensing. Model usage depends on your selected deployment model, model providers, and infrastructure. You can bring your own model keys, use your own infrastructure, or define a custom enterprise setup.
It means users can create and use agents without per-agent fees. Fair-use safeguards apply to protect platform reliability and prevent abusive or excessive workloads.
Yes. VDF AI is model-agnostic. You can use commercial models, open-source models, or private models running in your own infrastructure.
Yes. Enterprise deployments can run on-premises, in private cloud, in sovereign cloud, or in air-gapped environments.
Yes. VDF AI is designed for organizations that need data sovereignty, access controls, audit logs, private RAG, model governance, and deployment control.
Enterprise pricing depends on deployment model, number of users, integrations, support level, onboarding, monitoring, and compliance requirements.
Teams can start quickly with managed cloud. Private cloud and on-premises deployments depend on infrastructure and security requirements. Enterprise rollout includes guided implementation.
Microsoft Copilot is optimized for the Microsoft ecosystem. VDF AI is a model-agnostic orchestration and governance layer that can run across your tools, models, knowledge sources, and infrastructure.
Workflow automation tools move data between apps. VDF AI coordinates intelligent agents, models, retrieval, governance, and execution so teams can automate reasoning-heavy work, not just trigger-based workflows.
Start with secure AI agents today. Scale into governed AI workflows when your team is ready. Move to enterprise deployment when control, sovereignty, and compliance become non-negotiable.
Tell us what you’re trying to achieve—governed AI Networks, enterprise RAG, deep integrations, or on‑premise deployment. We’ll help you map the right architecture, security posture, and rollout path. If you’re moving beyond AI pilots and need scalable, auditable execution, reach out—our team is ready to help.