Saidot
Finnish AI governance platform built on a knowledge graph of AI risks, controls, policies and models, so systems inherit requirements automatically
Quick Overview
| Company | Saidot Ltd. |
|---|---|
| Category | AI Governance and EU AI Act Compliance Software |
| Headquarters | Helsinki, Finland |
| Founded | Not stated |
| EU Presence | Yes - Finland (EU) |
| Data Location | See website (hosting region not verified) |
| Open Source | No |
| GDPR Compliant | Yes |
| Self-Hosting | No |
| Main Features | AI inventory, knowledge graph of risks, controls and policies, automatic control inheritance, agent governance, EU AI Act classifier, REST API and webhooks, MCP servers, Azure AI Foundry and Amazon Bedrock integrations |
| Pricing | Subscription plans on the pricing page, prices not shown in the page text; monthly cancellation stated |
| Best For | Teams that want a ready-made library of AI risks and controls instead of building governance forms from scratch |
| Replaces | Credo AI, spreadsheet-based AI registers |
Detailed Review
Saidot starts from the idea that most AI governance work is repeated: the same model risks, the same privacy requirements, the same policy mappings. Instead of a blank form per system, it keeps a curated library of 260+ risks, 110+ policies and a catalogue of third-party AI models and products, and connects your inventory to it.
The company operates from Helsinki, Finland, and publishes its master terms, a data processing addendum, an EU Data Act addendum and a sub-processor list in a public legal centre. Its information security management system is certified to ISO/IEC 27001:2022.
A Library That Does the First Draft
Link an agent to the model it runs on and the model risks appear on the agent; connect a dataset and the privacy requirements follow. Saidot calls this inheritance, and it is the main difference from register-style tools where every field is typed in by hand.
The library is maintained by the vendor, which means its quality depends on how fast the Saidot team tracks new models and new rules.
Connections to the Rest of the Stack
The pricing FAQ lists built-in integrations with Azure AI Foundry and Amazon Bedrock, with other systems connecting through a REST API and webhooks. MCP servers let a company's own agents query governance data, register systems and assess risks programmatically.
That makes the platform usable from inside agent workflows, not only from a browser dashboard.
Beyond the EU AI Act
Saidot says it takes a risk-based rather than a purely regulatory approach and draws on standards such as ISO and NIST besides the EU AI Act. It also offers a free-to-use EU AI Act classifier and a governance maturity calculator on its site.
Limitations to Consider
The pricing page describes plans and a monthly cancellation right but shows no amounts in its page text, so budget has to come from a quote. The hosting region of the platform is not stated on the pages checked. It is a governance layer: it does not test model behaviour itself, so teams that need adversarial testing will pair it with a tool such as Giskard or Validaitor.
Who Should Use Saidot
Enterprises and public bodies in Europe that already run several AI systems and want a shared risk and control library with an EU vendor behind it.
Pros and Cons
Pros
- Curated library of risks, controls and policies
- Systems and agents inherit requirements automatically
- MCP servers and REST API for agent-first workflows
- ISO/IEC 27001:2022 certified ISMS
- Public legal centre with DPA, EU Data Act addendum and sub-processors
Cons
- No amounts shown on the pricing page text
- Hosting region not stated on pages checked
- Does not test model behaviour itself
- Value depends on the vendor keeping the library current
Alternatives to Saidot
Other European ai governance and eu ai act compliance software worth comparing before you decide:
Modulos
Switzerland · Zurich platform that prices AI risk in euros and tracks controls
Validaitor
Germany · Karlsruhe platform joining AI inventory, red-teaming and compliance
Deeploy
Netherlands · Runtime AI governance on top of existing MLOps and GenAI stacks
Enzai
United Kingdom · Shadow AI discovery, intake review and agent action control
See all European ai governance and eu ai act compliance software or compare them directly against Credo AI on our alternatives page.
Frequently Asked Questions
No. The vendor says it uses a risk-based approach and draws on ISO and NIST material as well as the EU AI Act, with policies from several regulations in its library.
Yes. The pricing FAQ names built-in integrations with Azure AI Foundry and Amazon Bedrock, plus a REST API, webhooks and MCP servers for other systems.
The pricing page states that you can cancel a subscription at any time before the next scheduled payment and that plans can be changed at any time.