Enterprise AI, priced for people in control.

VDF AI Cloud is a managed subscription we host and operate for you, with four plans: Free, Starter, Professional, and Enterprise Cloud. On-premises Seat Licensing is an annual subscription you run in your own environment — private cloud, on-premises, sovereign cloud, or air-gapped. Each Seat Bundle covers a defined number of named users, every seat includes the full platform with unlimited agents and workflows, and programmatic access is added through API Expansion Packs. The Enterprise bundle includes unlimited seats and unlimited API calls.

The Free plan is $0 for one user, with no credit card. Starter is $20 a month, or $200 a year, as a flat price for up to three users. Professional is $50 per seat a month, or $500 per seat a year, for up to 20 seats. Yearly billing works out at about 17% less than paying monthly. Starter and Professional are bought through self-service checkout; Enterprise Cloud is an annual contract scoped with our sales team.

Each Cloud plan includes a token allowance. Free includes 50,000 tokens per user a month (10,000 a day), 5 documents, and 50 saved chat sessions. Starter includes 1,000,000 tokens per user a month (200,000 a day), 3,000,000 per workspace, 50 documents, and 1,000 saved chat sessions. Professional includes 5,000,000 tokens per user a month (1,000,000 a day), 20,000,000 per workspace, unlimited documents, and 1,000 saved chat sessions. Enterprise Cloud allowances are set by contract. Users are notified at 80% and 100% of their allowance.

Yes. VDF AI software can be purchased directly from VDF AI, through an authorized VDF AI partner, or — for the on-premises enterprise edition — via AWS Marketplace. Partners are VARs and system integrators who deliver licensing alongside implementation, integrations, training, and local support, depending on your region and preferred procurement model.

Yes. VDF AI Enterprise, the self-hosted edition of the platform, is listed on AWS Marketplace as a container-based product. You subscribe through your existing AWS account, deploy into your own AWS environment, and keep billing consolidated on your AWS invoice. Cloud plans and non-AWS deployments continue to be purchased directly from VDF AI or through an authorized partner.

No. The VDF AI software licence is separate from implementation and professional services. Services are scoped separately and may be delivered by VDF AI or by the authorized partner delivering your project.

No. VDF AI Cloud plans are flat subscriptions, so the price does not rise with the tokens you use; each plan includes a token allowance instead, and moving up a plan or to an Enterprise Cloud contract raises it. On-premises deployments are licensed by seat in fixed annual Seat Bundles, where the VDF AI licence does not meter model tokens and interactive use by seat holders is never metered by volume. The only volume that is licensed is programmatic: API calls, added through API Expansion Packs where your deployment needs them, and unlimited on the Enterprise bundle. Model-provider charges and the infrastructure used to run models remain separate and depend on the deployment and models you choose.

Yes — on-premises VDF AI is licensed by seat. Each Seat Bundle covers a defined number of named users, and the effective price per seat falls as bundles get larger. Every seat includes the full platform, with unlimited agents and workflows and no per-agent, per-workflow, or per-message charges. Seats can be added during the term in blocks of ten, and a seat can be reassigned when its holder leaves or changes role. The Enterprise bundle has no limit on seats.

Not by default. Essential, Foundation, Growth, and Scale are interactive bundles: API keys, service accounts, schedulers, and inbound integrations from other applications are enabled by adding API Expansion Packs — fixed annual volumes of API calls that can be combined and added at any point in the term. A team that works interactively never pays for API capacity. The Enterprise bundle includes unlimited API calls and needs no packs.

One inbound programmatic request to VDF AI — an API call, a scheduled job execution, or a triggered workflow — counted once regardless of how many rules, integrations, steps, or model calls run inside it. A batch submission counts one API call for every 100 records or part thereof, a scheduled job counts per execution rather than per schedule defined, and a streamed response counts once at the request that initiated it. Failed requests, and automatic retries within 60 seconds of a failure, are not counted. Interactive sessions, governance and audit logging, administration and monitoring, and retrieval inside a counted call are not measured at all.

Ordinary variation is free: API consumption within the permitted surplus above your allowance is not chargeable, with no throttling and no escalation. Beyond that, API Expansion Packs are applied automatically and invoiced as incurred, and your operations continue uninterrupted. Only at the maximum surplus threshold recorded in your order form may VDF AI reduce the throughput ceiling or suspend API access for the affected deployment — and then only after at least ten business days of written notice, and not at all if additional API capacity is ordered within that period. Separately, requests above your sustained throughput ceiling are rate-limited so that service continues; they are never rejected because of the ceiling alone.

Existing users keep working — nobody is disabled because seat capacity is fully assigned. Further users can be added once a seat is released, a block of ten seats is added, or the subscription is upgraded to the next bundle. A seat is for one named individual and may not be shared; scripted or programmatic access through a seat requires API access.

Yes. Before any commitment, VDF AI models your intended deployment — seats and API calls — in a sizing workshop and recommends a bundle. Enterprise subscriptions may begin with a three-month platform trial at no licence fee; trial and production scope are agreed in the order form, and customer infrastructure, model-provider charges, and professional services are outside the trial.

Air-gapped deployments export their usage statements for periodic transmission, with quarterly offline statements; connected deployments transmit monthly statements automatically. Each statement records seats assigned, API calls consumed, connected integrated systems, and peak throughput. Where valid usage statements have been provided, VDF AI does not exercise audit or inspection rights for that period.

No. Users can create and use agents without per-agent fees on every plan. On VDF AI Cloud, agent activity draws on the plan’s token allowance; on-premises, every seat includes unlimited agents and workflows. 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. VDF AI is designed for organizations that need data sovereignty, access controls, audit logs, private RAG, model governance, and deployment control.

By Seat Bundle — Essential, Foundation, Growth, Scale, or Enterprise — each at a fixed annual price that covers a defined number of named-user seats, a set number of integrated systems, and the production and non-production environments included. API Expansion Packs, additional seats, and other add-ons are priced separately, and multi-year terms carry a discount. Sizing starts with two figures: how many people will use the platform, and how many API calls your automated workloads will generate. Annual list pricing is provided on request, in a sizing workshop, or through your authorized VDF AI partner, and implementation and professional services are quoted separately.

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.