European Alternatives to Credo AI
Looking for a European alternative to Credo AI? Credo AI is run by Credo.AI Corp, whose terms are governed by California law with venue in San Francisco, and its platform stores the register of your AI systems, models and risk assessments. Pricing is sold through demos, with no price list on the site.
These European platforms cover AI inventory, risk classification, testing and audit evidence for the EU AI Act and ISO/IEC 42001, from vendors in Finland, Switzerland, Germany, the Netherlands, France, Denmark, Sweden and the UK.
How we rank these tools — 4-step process
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European ownership, verified
The company is headquartered and incorporated in the EU, EEA, the UK, Switzerland or Israel, and processes customer data in Europe or Israel. A US parent company disqualifies a tool from this page regardless of where its servers are.
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Category fit and hands-on review
What the tool actually does, who it suits, and where it falls short — checked against the vendor’s own documentation, changelog and pricing page rather than its marketing copy.
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Compliance and pricing check
GDPR posture, hosting location and the prices quoted on this page are verified against the vendor’s public pricing before publication, and re-checked when we revisit the category.
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11 European Alternatives to Credo AI
Saidot
Governance platform on a knowledge graph of AI risks and controls
Modulos
Zurich platform that prices AI risk in euros and tracks controls
Validaitor
Karlsruhe platform joining AI inventory, red-teaming and compliance
Deeploy
Runtime AI governance on top of existing MLOps and GenAI stacks
Enzai
Shadow AI discovery, intake review and agent action control
Naaia
French AI management system for risk and multi-regulation compliance
2021.AI
GRACE platform with governed AI chat, registry and guardrails
Calvin Risk
AI assurance that tests systems and agents and records evidence
SimpleAct
EU AI Act and GDPR workspace hosted in Germany from €199
AddComply
Compliance tool built only for the EU AI Act
Giskard
Red teaming and evaluation of LLM agents, open-core
Key takeaways
- Credo.AI Corp states in its privacy notice that it is headquartered in the United States, and its website terms are governed by California law with venue in San Francisco.
- Credo AI publishes no price: the pricing address returns a not-found page and the site routes every visitor to a demo.
- Credo AI lists policy packs for the EU AI Act, ISO 42001 and NIST AI RMF, and also for US rules such as OMB M-25, Colorado ADMT and NAIC AI.
- Validaitor (€490 or €790 per AI system per year) and SimpleAct (from €199 per month) are the two European tools on this page with published per-system or monthly prices.
- Giskard and Calvin Risk test AI behaviour, which Credo AI does through automated red-teaming inside a wider governance suite, so they pair with a register instead of replacing it.
Why people leave Credo AI
Credo AI describes itself as the company that created the AI governance category, and its homepage dates that work to 2020. The product is a platform where an enterprise registers its AI systems, agents, models and vendors, scores their risk, attaches policy packs and keeps the approval trail. The operating company is Credo.AI Corp, and its privacy notice states plainly that the company is headquartered in the United States.
Buyers in Europe look beyond it for a reason that is specific to this category. A governance register is not a log file.
It lists every AI system the organisation runs or buys, which data each one touches, which risks were accepted and who signed off. For a bank or a ministry that list is an inventory of its own weak points, and keeping it with a vendor whose website terms point to California law and San Francisco courts is a question the data protection officer will ask.
The second reason is regulatory centre of gravity. Credo AI ships policy packs for the EU AI Act, ISO 42001 and NIST, but the same list also names US instruments such as OMB M-25, the Colorado ADMT rules and the NAIC model for insurers. A company whose supervisor is in Brussels, Bonn or Amsterdam may prefer a vendor whose product starts from the AI Act and whose engineers read it in the original language.
- Terms and courts sit in California The website terms that Credo AI published with an effective date of 1 January 2026 are governed by California law, with exclusive venue in the state or federal courts of San Francisco. The platform itself is sold under separate terms that the site refers to but does not show. Until you hold that contract, assume the same legal home, and ask a European vendor for the equivalent clause in writing for comparison.
- Transfers rest on standard clauses The privacy notice says Credo AI operates globally and that transfers of personal information to countries without an adequate level of protection are covered by the EU Standard Contractual Clauses or another mechanism. That wording concerns the website and its visitors. For platform data the answer is in your data processing agreement, which a buyer should read before signing. A processor inside the EU or Switzerland makes the clause unnecessary.
- No price to compare against There is no public price: the pricing address on credo.ai returns a not-found page, and every call to action is a demo request or a conversation with an expert. That makes a cost comparison impossible until a quote arrives. Three European vendors on this page publish numbers (Validaitor, SimpleAct and 2021.AI), which lets a procurement team set a floor before the first call.
- Scope is wider than many teams need Credo AI lists registry, shadow AI discovery, risk intelligence, a policy engine, runtime governance, an assistant called GAIA and an agent governor in preview, plus advisory services. A company whose real task is to produce EU AI Act documentation by August of next year pays for a platform sized for a multinational. Narrower European tools exist for exactly that job.
What you have to replace, not just match
Replacing Credo AI means replacing a register and the habits built around it. The registry holds use cases, models, agents and third-party vendors, each with an owner, a risk tier and an approval state. Before any migration, export that structure and decide which fields are your own and which came from Credo's templates, because the template fields will not exist in the next tool under the same names.
The second layer is the policy content. Credo AI packages its regulatory knowledge as policy packs and a risk and control library, which the vendor updates as rules change. European tools carry their own libraries: Saidot cites 260+ risks and 110+ policies, Modulos maps one control set to several frameworks, Deeploy offers ISO 42001, NIST AI RMF and custom frameworks. Your approved controls need to be re-mapped onto whichever library you choose, and a legal reviewer should sign the mapping.
The third layer is connections. Credo AI lists Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, Confluence, Slack, GitHub and MLflow among its integrations. Check which of those your teams actually use for intake and evidence, then test the same connection in the replacement. Enzai names Jira and ServiceNow, Modulos names GitHub, AWS, Azure and MLflow, Saidot names Azure AI Foundry and Amazon Bedrock.
The alternatives compared
| Position | Tool | Headquarters | Pricing | Jurisdiction |
|---|---|---|---|---|
| #1 | Saidot | Helsinki, Finland | Subscription plans on the pricing page, prices not shown in the page text; monthly cancellation stated | EU (Finland) |
| #2 | Modulos | Zurich, Switzerland | Pricing on request (demo) | Switzerland (adequacy decision, outside the EEA) |
| #3 | Validaitor | Karlsruhe, Germany | See & Control: Starter €490 and Team €790 per AI system per year; 7-day free trial; Enterprise on request | EU (Germany) |
| #4 | Deeploy | Utrecht, Netherlands | Platform fee plus seat fee by stage, no amounts published; Core, Scale and Enterprise plans | EU (Netherlands) |
| #5 | Enzai | Belfast, United Kingdom | Demo required; no public pricing | United Kingdom (adequacy decision, outside the EEA) |
| #6 | Naaia | Louveciennes, France | Demo on request; no public pricing | EU (France) |
| #7 | 2021.AI | Copenhagen, Denmark | Campaign prices through 2026: €2,675 per month (list €3,345) and €4,000 per month (list €5,475); custom plan on request | EU (Denmark) |
| #8 | Calvin Risk | Zurich, Switzerland | Demo on request; no public pricing | Switzerland (adequacy decision, outside the EEA) |
| #9 | SimpleAct | Recklinghausen, Germany | Starter €199 per month (€159 billed yearly), Professional €349 (€279 yearly), Enterprise on request; net of VAT | EU (Germany) |
| #10 | AddComply | Jönköping, Sweden | Demo on request; no public pricing | EU (Sweden) |
| #11 | Giskard | France | Open source free; Professional on request | EU (France) |
How each alternative compares to Credo AI
Best for: Enterprises and public bodies with several AI systems that want shared controls rather than blank forms
Credo AI hands you policy packs and a risk and control library inside its platform, and Saidot does the same through a knowledge graph. The vendor cites 260+ risks, 110+ policies and a catalogue of third-party models, and says a system inherits the relevant requirements once you link it to a model or dataset. Against Credo, that makes the first registration quicker.
Saidot is a Finnish company (Saidot Ltd., Helsinki) with an ISO/IEC 27001:2022 certified management system and a public legal centre showing its data processing addendum, an EU Data Act addendum and a sub-processor list. Plan prices are not shown on the pricing page, and the hosting region was not stated on the pages we read, so ask both in the first call.
What Saidot does better than Credo AI
- Published DPA and sub-processor list
- Control inheritance from a linked model
- EU contracting entity
- MCP servers for agent workflows
Where Saidot is a step down from Credo AI
- No testing of model behaviour
- Hosting region not stated on the pages we read
Standout against Credo AI. Saidot is the one tool here that builds the first draft of a system's risk file from a library instead of asking the user to type it.
Best for: Regulated organisations that need audit evidence and a financial case for AI risk
Credo AI offers shadow AI discovery and dynamic risk scoring, and Modulos answers with an agent called Scout that searches cloud accounts, code and connected tools for AI nobody registered. Where Credo ranks risk by tier, Modulos expresses it in money, which suits a risk committee that thinks in budget lines.
Modulos AG was founded in 2018 as an ETH Zurich spin-off and states CHF 16.4M raised and a SOC 2 Type 2 report on its company page. Switzerland sits outside the EU, so the contract follows Swiss law and the adequacy decision. Pricing is by demo only, and hosting options were not stated on the pages we checked.
What Modulos does better than Credo AI
- Risk quantified in euros
- Agent-based discovery of unregistered AI
- Swiss rather than US jurisdiction
- One control library across several frameworks
Where Modulos is a step down from Credo AI
- Enterprise orientation, heavy for small teams
- No public price
Standout against Credo AI. Modulos is the only platform on this page that prices an AI risk in euros inside the register.
Best for: Teams that want inventory, risk and adversarial testing from one German GmbH
Credo AI covers red-teaming as one capability inside a large suite and quotes nothing, whereas Validaitor puts testing next to the register as a visible module and prices the governance part: €490 (Starter) or €790 (Team) per AI system per year under See & Control, with a 7-day free trial. A buyer can multiply that by a system count before talking to anyone.
The legal entity is Validaitor GmbH in Karlsruhe, entered at Amtsgericht Mannheim as HRB 750606. The same per-system model that makes budgeting simple also means cost grows with every registered system, and testing modules are priced separately. Hosting and certifications were not checked on the pages we read.
What Validaitor does better than Credo AI
- Published per-system price
- Testing and register in one product
- OWASP-aligned AI pen-testing
- German commercial-register entity
Where Validaitor is a step down from Credo AI
- Cost scales with the number of systems
- Testing modules priced separately
Standout against Credo AI. Validaitor is the only tool in this list that sells a governance register by the AI system with the price on the page.
Best for: Engineering-led organisations with existing MLOps or GenAI platforms and a need for own-cloud hosting
Credo AI treats runtime as one module of a wider platform, with trace ingestion, drift detection and an agent governor still in preview. Deeploy starts at the running systems: it connects to MLOps and GenAI platforms, finds AI that was never onboarded, and then watches for drift, performance drops and unsafe outputs with guardrails and an agent registry.
The privacy policy names Deeploy at Oudegracht 91A in Utrecht, Chamber of Commerce number 78193621. Enterprise customers can choose SaaS, private cloud, their own AWS or Azure account, or on-premise, which Credo AI does not state on the pages we read. Plans are Core, Scale and Enterprise with a platform fee plus seats, and no amounts are published.
What Deeploy does better than Credo AI
- On-premise and own-cloud on the Enterprise plan
- Monitoring of live models, not only the register
- Dutch controller with a KvK number
Where Deeploy is a step down from Credo AI
- Lighter business-side intake workflows
- Core plan has no SSO or SLA
Standout against Credo AI. Deeploy is the tool on this page whose governance sits on the serving layer, which is where Credo AI is still adding enforcement.
Best for: Legal, risk and security teams that route every new AI request through review and need Jira or ServiceNow
Enzai is the tool here that most resembles Credo AI in how it works: discover, intake, comply, enforce. Every new AI request passes through legal, risk and security review before launch, shadow AI is added to the inventory, and frameworks include the EU AI Act, ISO 42001, NIST AI RMF and GDPR. It also ships an MCP server for agents, as Credo AI does for MCP governance.
Enzai Technologies Limited is registered in Northern Ireland (NI681546), with offices in Belfast and London. The United Kingdom is outside the EU, so adequacy and UK GDPR apply, not EU law directly. Only the website terms were found, so the customer contract entity must be confirmed. No price is published.
What Enzai does better than Credo AI
- Non-US contracting entity
- Named Jira and ServiceNow integrations
- Intake workflow as the core of the product
Where Enzai is a step down from Credo AI
- UK jurisdiction, not EU
- No model testing
- Customer contract entity not shown
Standout against Credo AI. Enzai is the nearest swap for a team that picked Credo AI mainly for its approval workflow.
Best for: Manufacturers and regulated groups that need AI risk next to product rules such as medical devices
Credo AI offers advisory services and policy packs, and Naaia packages a similar mix with a French accent: a registry of projects, systems, models and components, a qualification engine that classifies them, and a compliance engine that turns the applicable rules into tasks. Naaia Academy adds training, and the site includes a medical device use case.
The legal notice names naaia, a société par actions simplifiée in Louveciennes, with share capital of €50,000 and entry at the Versailles register under 913 352 688. The site is in French and English. Pricing is by demo, and hosting and self-hosting were not stated on the pages we checked.
What Naaia does better than Credo AI
- Product-regulation coverage alongside the AI Act
- Training built into the offer
- French register entry with share capital shown
Where Naaia is a step down from Credo AI
- No public documentation beyond marketing pages
- No public price
Standout against Credo AI. Naaia is the one platform here that treats an AI system as a component of a regulated product, not only as software.
Best for: Organisations that want governed AI chat, a registry and guardrails, possibly on their own infrastructure
Credo AI asks teams to register systems and then discovers shadow AI around them. 2021.AI works the other way: staff use a governed chat application, and the registry fills as a side effect. The GRACE platform has modules for GenAI, AI security, governance and a developer layer, with an option to run a local or hybrid language model.
Two plans are priced on the site: €2,675 per month (list €3,345) and €4,000 per month (list €5,475), both campaign prices through 2026. The vendor says GRACE runs in cloud, private cloud or on-premise. The entry price suits a large organisation, some privacy and security features come from partners, and the legal form of the company was not stated on the pages we read.
What 2021.AI does better than Credo AI
- Prices published on the page
- On-premise and private-cloud option
- Registry filled automatically through chat use
Where 2021.AI is a step down from Credo AI
- High entry price for a small company
- Some features come from partners
Standout against Credo AI. 2021.AI is the only tool here where the register builds itself because staff talk to a governed assistant.
Best for: Insurers, banks and transport firms that must show measurable evidence of how an AI system behaves
Credo AI treats testing as one capability among many. Calvin Risk reverses the order: it generates test data and scenarios, stresses models under realistic and adversarial conditions, scores them on technical, ethical and regulatory criteria such as fairness and explainability, and stores the records for audit. Its governance workflows sit on top of that evidence.
The imprint names Calvin Risk AG at Josefstrasse 219 in Zurich, and the company page describes an ETH Zurich spin-off serving insurance, banking and transportation. It is not a full register or intake system, so a firm with many third-party AI tools would pair it with Saidot or Enzai. No price is published, and the improvement percentages on the site are vendor claims.
What Calvin Risk does better than Credo AI
- Scenario-based testing of agents and assistants
- Fairness and explainability scoring
- Evidence designed for auditors
Where Calvin Risk is a step down from Credo AI
- No full AI register or intake
- No public price
Standout against Credo AI. Calvin Risk answers the auditor's question of how the model behaves, which a register alone does not.
Best for: Small and mid-size companies starting AI Act documentation together with GDPR records
Credo AI is built for enterprises that talk to an expert before they see a price. SimpleAct lists Starter at €199 per month (€159 billed yearly) and Professional at €349 (€279 yearly), net of VAT, and offers a free quick check without sign-up. A guided questionnaire checks prohibited practices, Annex III triggers and transparency duties, and the classification follows by rule with article references.
The imprint names SimpleAct UG (haftungsbeschränkt) in Recklinghausen, HRB 10368 at Amtsgericht Recklinghausen, and the site is hosted by Hetzner in Germany. Starter stops at five AI systems and three users, the trial needs a credit card, and a young UG deserves a continuity check. There is no model testing.
What SimpleAct does better than Credo AI
- Monthly price visible before any call
- German hosting named
- GDPR records in the same workspace
- Annex IV documentation templates
Where SimpleAct is a step down from Credo AI
- No model testing
- Young company without stated certifications
- Starter limited to five systems
Standout against Credo AI. SimpleAct puts a classified AI inventory behind a visible price of €199 a month.
Best for: Organisations that only need to follow the EU AI Act and want a role-specific path
Credo AI maps many frameworks, and AddComply deliberately maps one. The site says it is built exclusively for the EU AI Act and is not a traditional GRC system, with a self-assessment that classifies risk and your role, then produces a compliance path, task reminders, role-based access and audit-ready documentation.
The footer names AddComply AB with headquarters in Jönköping and further offices in Stockholm, Gothenburg, Oskarshamn and Växjö, and the site says experts in AI law and compliance founded it. There is no price list, no automatic discovery of AI systems and no testing. Anyone who also needs ISO 42001 or NIST mapping will outgrow it.
What AddComply does better than Credo AI
- Narrow focus that is quick to learn
- Role-specific workflows for provider or deployer
- Swedish legal entity
Where AddComply is a step down from Credo AI
- Single regulation only
- No discovery or testing
- No public pricing or integrations list
Standout against Credo AI. AddComply is the only entry here that refuses to be a general GRC product.
Best for: Engineering teams that must test models and agents before release and prefer an Apache-2.0 library
Giskard is the odd one out against Credo AI, because it does not keep a register at all. It generates adversarial and quality tests for models and agents: prompt injection, data disclosure, hallucination and inappropriate refusals, with 50+ probes on the Professional tier. Credo AI lists red-teaming as one feature, and Giskard makes it the whole product.
GISKARD AI SAS says on its site that it is built in France, founded in 2021 by people with Dataiku and Thales experience, and its library is published under Apache-2.0 with v3 as a rewrite of earlier versions. Enterprise deployment can be on-premise, private cloud or SaaS. The open source tier gets best-effort support and the Professional price is not published.
What Giskard does better than Credo AI
- Open-source library under Apache-2.0
- Pre-release tests wired into CI/CD
- On-premise deployment
Where Giskard is a step down from Credo AI
- No inventory, approvals or policy packs
- Professional price not published
Standout against Credo AI. Giskard is the only open-source component on this page, which suits teams that want to test before they buy a register.
What actually breaks when you switch
The first thing that breaks is the data model. Credo AI's use cases, risk tiers and approval states do not have a standard export format that every European tool reads, so expect to move records through CSV or the vendor's API and rebuild relationships by hand.
Ask Credo AI in writing what an export contains, in particular assessment answers and attachments, and ask the new vendor what it can import. The approval history matters most, because an auditor will ask who signed what and when.
The second break is contractual and human. Credo AI sells with forward-deployed experts, so some of your governance know-how may live in their templates and in workshops.
A European replacement with a smaller services team means your own staff carry more of the setup, which is where Naaia's training, Saidot's library or SimpleAct's guided questionnaire help. Check the notice period and renewal date of the current contract before you plan a cut-over, and run both platforms side by side on a single business unit before retiring the old register.
Can we keep Credo AI and still pass a European procurement review?
Sometimes. Credo AI publishes a privacy notice with EU Standard Contractual Clauses for transfers, names a forward-deployed expert model for onboarding, and says its platform connects to the cloud and GRC systems a European enterprise already uses. A review that accepts a US-headquartered processor with contractual safeguards can close. A review that requires the vendor, its owner and its courts to sit in Europe cannot.
The useful step is to ask for the platform contract now, not after the demo, because the terms visible on the website cover the website only. Put the same four questions to Credo AI and to two European vendors: where is customer data stored, which sub-processors see it, which law governs the contract, and what leaves with us on exit. Compare the written answers.
Does a European tool cover as much as Credo AI does?
Not one tool, and that is the honest answer. Credo AI combines a registry, shadow AI discovery, policy packs, risk scoring, runtime monitoring and an assistant in one platform, and it adds advisory services. Among the European tools, Saidot and Modulos come closest on register plus library, Deeploy on runtime control, Validaitor and Calvin Risk on testing, and Naaia on multi-regulation workflows.
For many buyers, though, the extra breadth is not used. A company with a dozen AI systems and an August deadline for AI Act documentation can run on SimpleAct or AddComply. A larger group should shortlist two platforms from the top of the list and run the same use case through both, then decide whether a separate testing tool such as Giskard is needed beside them.
Which one to pick
Pick Saidot or Modulos if you want the nearest equivalent to Credo AI's register and library from a European vendor: Saidot for a shared risk and control library with a Finnish contracting entity, Modulos for euro-based risk figures and discovery in a Swiss company.
Pick Enzai if the approval workflow is why you chose Credo AI, and accept UK jurisdiction. Pick Deeploy if governance should be enforced where models run, and Validaitor if you want a register with testing and a price per system on the page.
Pick SimpleAct or AddComply if the real task is EU AI Act documentation for a modest number of systems, and 2021.AI if governed internal chat is your first use case.
Add Giskard or Calvin Risk beside any register when you need test evidence. Stay with Credo AI if US state rules such as Colorado or NAIC are in scope, if you rely on its integrations with Snowflake, Databricks or ServiceNow today, or if its advisory team is doing work you cannot staff yourself.
Frequently Asked Questions
Saidot from Finland is the closest match for a register with a ready-made library of risks and controls, and Modulos from Zurich suits regulated firms that want risk expressed in euros. Validaitor from Karlsruhe adds red-teaming to the register and publishes per-system prices. Deeploy from Utrecht fits teams that want governance at the point where models run. SimpleAct and AddComply are lighter choices for the EU AI Act alone.
No. The operating company is Credo.AI Corp, and its privacy notice says it is headquartered in the United States. Its website terms, effective 1 January 2026, are governed by California law with venue in San Francisco. The platform contract is a separate document that the site does not publish, so the governing law for your own agreement has to be confirmed with the vendor.
Three do. Validaitor lists €490 (Starter) and €790 (Team) per AI system per year for its See & Control module. SimpleAct lists €199 per month for Starter and €349 for Professional, net of VAT. 2021.AI lists campaign prices of €2,675 and €4,000 per month through 2026, against list prices of €3,345 and €5,475. Saidot, Modulos, Enzai, Naaia, Calvin Risk, Deeploy and AddComply quote on request.
Mostly for the European ones. Credo AI lists policy packs for the EU AI Act, NIST AI RMF and ISO 42001, plus US instruments. Modulos names EU AI Act, ISO/IEC 42001, NIST AI RMF, DORA and NIS2, Enzai names the EU AI Act, ISO 42001, NIST AI RMF and GDPR, Deeploy offers ISO 42001, NIST AI RMF and custom frameworks. AddComply covers the EU AI Act only. For US state rules, ask each vendor directly.
Giskard from France and Calvin Risk from Zurich put testing first. Giskard runs adversarial and quality tests on models and agents, with an Apache-2.0 library, and Calvin Risk generates scenarios and records the evidence for audit. Validaitor does both: a register and red-team testing in one platform. None of them replaces an approval workflow, so teams usually combine one tester with one register.
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