What is actually known
Not much, and the honest version of this answer says so. Here is every source we could find, with what each one supports.
- Credo AI's own pricing page, checked 2 September 2026: returns a 404. There is no public price list.
- The G2 product listing, checked the same day: pricing details are not available, and one reviewer describes the product as costly for a small business or an early-stage AI programme.
- Two third-party reviews, CO-AIMS in 2026 and Openlayer in January 2026, publish annual estimates. We are not repeating their figures, for the reason in the next section.
- Nothing from Credo AI itself, no order form, and no analyst report with a stated method.
Why this page prints no number
Two blogs agreeing is triangulation of a sort, and worth exactly that much. Neither review names an analyst, and neither explains how its range was derived. A third-party guess at another vendor's price stops reading as a guess the moment it appears on a page like this one, and we could not defend it if Credo AI asked us to. So the figures stay off. If you want them, the two reviews are linked in the sources below and you can weigh them yourself.
What drives the number
Credo AI's product page shows the shape of the pricing conversation even without figures on it. The platform is modular, and modular products get priced on how much of the estate you point them at and how many modules you switch on.
- The count of AI systems or models you bring under management, in year one and at your three-year projection.
- Which framework packs you need, such as the EU AI Act, NIST, ISO/IEC 42001 and SOC 2.
- Whether the runtime governance and Agent Governance modules are in scope or sold separately.
- How many reviewer seats risk and compliance need.
- The integration work required to keep the registry current once the initial load is done.
The work the licence does not cover
The licence is the part everyone budgets for. The part that surprises people is the ongoing human work of keeping a registry true. Someone has to register new systems, refresh assessments, chase owners for answers, and produce the evidence at review time. A governance platform makes that work visible and structured. It does not do it for you.
The second product you may end up buying
A registry answers which AI systems exist and how each one was assessed. It does not decide whether a running agent may call a tool. If your roadmap includes agents that act in real systems, budget for the control that makes that decision as well, because discovering the gap after the first renewal is an expensive way to learn it.
Questions that get you a real number faster
Vendors quote faster against a specific scope. Turn up with one.
- State the number of AI systems you will register in year one and the number you expect by year three.
- Name the framework packs you need, and ask which are included at the tier being quoted.
- Ask whether the agent governance and runtime governance modules carry a separate charge.
- Ask for the implementation fee separately from the subscription, with the days of work behind it.
- Ask what happens to the price when your registered system count grows mid-term.
- Ask for a reference customer of your size, in your sector, who went live in the last year.
How Difinity.ai is priced differently
Difinity is not shaped like a governance-registry subscription, so the comparison is not like for like. Model and tool work that Difinity funds is metered in credits. Where an organisation's own provider keys are enabled for that work, the provider bills it instead, and one usage record never carries both. A request the guardrails refuse never reaches a provider and is not charged.
How credits behave
Credits are a prepaid ledger, and usage is settled shortly after each run. Where an organisation has a credit account and it reaches zero, the chat and agent workspace returns HTTP 402 with the code OUT_OF_CREDITS, while an application calling the API is not refused on credits. Invoices are issued monthly through Stripe. This page publishes no credit price and no credit-to-token conversion, because rates are set in the applicable order form or enterprise agreement.
What you are actually paying for
The invoice shape matters less than what sits behind it. An organisation configures its agents and their policies in Hub, and every action an agent takes leaves through the tool gateway that holds the credential and decides, rather than being assessed on a review cycle. That is a different line item from a registry subscription, and it should be compared against a different budget.
How much to trust this answer
The strongest facts here are the negative ones: the pricing page 404s, G2 shows nothing, and Credo AI sells on quotes. Those we checked ourselves on 2 September 2026. Everything else on this page is about how enterprise governance software is usually priced, which is a reasonable guide to the conversation and not a substitute for a quote.
When this changes
The day Credo AI publishes a pricing page, which SaaS vendors do without warning. It also changes if the basis of the quote moves, such as pricing per agent rather than per registered system, which would make every estimate written before that point useless. If a number is load-bearing for your business case, get it from a sales conversation and treat this page as preparation for that call.
Frequently asked questions
Does Credo AI publish pricing?
No. The pricing page returned a 404 on 2 September 2026 and G2's listing shows no pricing detail. Credo AI sells on enterprise quotes.
What is a realistic budget line for Credo AI?
No published figure exists to anchor one, and the third-party estimates in circulation are not quotes. Build the budget line from your own scope instead: how many AI systems you will register, which framework packs you need, whether the agent and runtime modules are included, and how many days of implementation the vendor is proposing. Ask for those priced separately.
Is Credo AI expensive for a small team?
A G2 reviewer describes it as costly for a small business or an early-stage AI programme. The platform is built around an enterprise registry and assessment workflow, so a small estate carries a large share of the fixed cost.
What does the price not cover?
The ongoing work of keeping the registry accurate sits with your team. So does runtime control: a registry records what an AI system is and how it was assessed, and does not decide whether a running agent may call a tool.
Sources and further reading
- Credo AI pricing page, returned 404 on 2 September 2026 (opens in a new tab)
- G2 reviews and pricing for Credo AI, accessed 2 September 2026 (opens in a new tab)
- CO-AIMS, Credo AI review 2026 with a pricing estimate (opens in a new tab)
- Openlayer, review of Credo AI pricing and alternatives, January 2026 (opens in a new tab)
- Credo AI product page, fetched 2 September 2026 (opens in a new tab)