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Saidot

AI governance platform built on a knowledge graph of risks, controls, and policies

Editorially reviewedChecked Sep 2026How we review
ai-governance#ai-governance#eu-ai-act#compliance#risk-management
Claimed API Teams
Toolglade editorial score

Our assessment — not a user rating. How we score

3.7/5
7.4/10 composite
Enterprise readiness
8.0
Compliance posture
8.0
Workflow depth
8.0
Integration surface
8.0
Transparency
5.0
Toolglade’s take

Toolglade take: one of the most mature EU-centric AI governance platforms, and its knowledge-graph model that auto-propagates risks and controls stands out for teams facing EU AI Act and agentic AI obligations. Pricing is not public, so expect a sales conversation.

About Saidot

Saidot is a Finnish AI governance platform built around a curated knowledge graph of risks, controls, policies, and third-party models. Organisations register their AI systems, agents, models, and datasets, and governance data such as risks and controls inherits automatically as those components change. It is positioned strongly around the EU AI Act while also covering ISO/IEC 42001, NIST RMF, and many other frameworks. The platform is API-first and agent-first, with REST APIs, webhooks, and MCP servers that let an organisation own AI agents query and act on governance data.

Saidot is an agent-first, graph-based AI governance platform from Finland. It links an organisation AI inventory of systems, models, datasets, and agents to a curated knowledge graph of 260+ risks, 620+ controls, 110+ policies, and 170+ third-party AI models and products. When a model updates, an agent is deployed, or a policy is revised, the connected governance data updates automatically, so risks and controls flow to the affected systems without manual rework. The platform is designed to bring AI teams, legal, compliance, and risk functions into one shared source of truth. It supports EU AI Act, ISO/IEC 42001, and NIST RMF alongside many other frameworks, offers workflow automation, REST APIs, webhooks, and MCP servers for connecting an organisation own AI agents, and produces audit-ready transparency reports.

TL;DR

Saidot is a Finnish, agent-first AI governance platform built around a curated knowledge graph of 260+ risks, 620+ controls, 110+ policies, and 170+ third-party AI models and products. Its defining idea is automatic inheritance: link a system to its models, datasets, and tools, and the relevant risks and controls flow in and stay current as things change. The platform leans strongly into EU AI Act readiness while also supporting ISO/IEC 42001, NIST RMF, and many other frameworks. It is API-first and agent-first, with REST APIs, webhooks, and MCP servers that let an organisation own AI agents work over governance data. Pricing is not publicly disclosed and there is no advertised free plan or trial.

Company overview

Saidot Ltd is an AI governance company headquartered in Helsinki, Finland, at Lapinlahdenkatu 16. Founded in 2018, it describes itself as an agentic-first, graph-based AI governance company that helps enterprises and public organisations govern AI systems, agents, models, and datasets at scale. The team spans ML and LLM engineering, policy, law, product, design, and business, and the company operates remote-first while combining European AI policy expertise with technical governance experience.

Saidot has built visibility through a collaboration with Microsoft on Azure AI, availability on the Microsoft Azure Marketplace, and recognition in the 2026 Gartner Magic Quadrant for AI Governance Platforms. Its information security management system is ISO/IEC 27001:2022 certified by Prescient Security. Reported customers and references include the Scottish Government and Deloitte, and the company has been featured across outlets such as Sifted, Harvard Business Review, and the Financial Times.

Product features

The core of the product is the Saidot Graph, which links agents and other AI systems to their models, datasets, risks, policies, and controls. A centralised AI inventory keeps everything in one place, risks inherit automatically from linked third-party models and datasets, and an Agent Catalogue lets teams register agents, classify the risk of the tools each agent can access, and track inherited risks. Automations handle lifecycle approvals, risk and control inheritance, and classification, while observability features turn runtime events into governance actions such as incidents, reviews, and alerts through Slack, Jira, or webhooks.

On compliance, Saidot maps curated controls to the EU AI Act, ISO/IEC 42001, NIST RMF, GDPR, and 110+ other policies, supports collect-once evidence reuse across systems, and exports audit-ready transparency reports. Connectivity is a major theme: built-in integrations with Azure AI Foundry and Amazon Bedrock, REST APIs and webhooks for other AI, ML, and GRC platforms, and MCP servers that let an organisation own AI assistants draft risk assessments, register systems, and research the knowledge graph while humans retain approval control.

Target market

Saidot targets enterprises and public sector organisations in Europe and globally that must govern AI systematically, particularly those exposed to the EU AI Act and adjacent standards. Its buyers are typically compliance, legal, risk, and AI or ML leaders who need a shared source of truth across functions, and it is well suited to organisations governing agentic AI and large portfolios of third-party models.

Buyer personas

End users

AI governance specialists, compliance and risk officers, and the AI or ML engineers and product managers who register systems and agents, run assessments, and maintain evidence.

Buyers

Heads of AI governance, chief compliance or risk officers, legal leaders, and CISOs responsible for regulatory readiness and audit outcomes.

Key influencers

Data protection officers, internal audit, responsible AI leads, procurement, and cloud or platform teams managing Azure and AWS AI stacks.

Ideal customer profile

A mid-to-large enterprise or public sector organisation deploying AI at scale, subject to the EU AI Act or comparable frameworks, that wants continuous, automated governance across systems, models, datasets, and agents rather than manual spreadsheet-based tracking.

Funding & performance

Saidot raised a EUR 1.75 million seed round announced in October 2023, led by Crowberry Capital and Ventic, and including a EUR 250K contribution from Business Finland after Saidot was selected for its Young Innovative Companies program. The funding was earmarked for expanding the company European presence and developing tools for evaluating and implementing safety measures for generative AI systems. Later funding rounds, total capital raised beyond the seed, and current valuation are not publicly disclosed.

Pros & cons

Pros

  • Knowledge graph auto-propagates risks and controls, reducing manual governance work
  • Deep EU AI Act coverage plus ISO/IEC 42001, NIST RMF, and 110+ other policies
  • Agent-first design with MCP servers for governing and using AI agents
  • Strong integration and API story, with most functionality available through APIs
  • ISO/IEC 27001:2022 certified information security management system
  • Recognised in the 2026 Gartner Magic Quadrant for AI Governance Platforms

Cons

  • Pricing is not publicly disclosed, requiring a sales conversation
  • No free plan or free trial is advertised
  • Breadth and graph model can mean a learning curve for smaller teams
  • European regulatory focus may be more than lightly regulated organisations need
  • No mobile app or browser extension

Pricing plans

Custom
Custom
  • Centralised AI inventory for systems, agents, models, and datasets
  • Risk and compliance management with the Saidot Library knowledge graph
  • Integrations, REST APIs, webhooks, and MCP servers
  • Guided controls for EU AI Act, ISO/IEC 42001, NIST RMF, and more
  • Support (specific tiers and pricing not publicly disclosed)

Key features

API
Team collaboration
Multi-language
Integrations
Azure AI Foundry, Amazon Bedrock, Slack, Atlassian Jira, Snowflake, REST API, Webhooks, MCP servers
Input types
AI systems, AI agents, models, datasets, runtime events
Output types
risk assessments, compliance controls, audit-ready transparency reports, governance workflows
Best For
enterprises, public sector organisations, compliance and risk teams, AI and ML teams

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Pricing
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Contact for pricing
Contact for pricing
Free plan
No
No
No
Free trial
No
No
No
API
Yes
Yes
Yes
Self-hosted
No
No
Yes
Team support
Yes
Yes
Yes

Frequently asked questions

What is Saidot?+

Saidot is a Helsinki-based AI governance platform that connects an organisation AI inventory to a curated knowledge graph of risks, controls, policies, and third-party models, so systems and agents inherit governance data automatically.

Does Saidot only cover the EU AI Act?+

No. Saidot takes a risk-based approach and covers the EU AI Act, ISO/IEC 42001, NIST RMF, GDPR, and 110+ other policies, drawing inferences from regulations and standards to give comprehensive coverage.

Does Saidot offer an API and integrations?+

Yes. Saidot has built-in integrations with Azure AI Foundry and Amazon Bedrock, connects to other systems via REST API and webhooks, and offers MCP servers so AI agents can query governance data, register systems, and assess risks. Saidot states that 95 percent of functionality can be operated through APIs.

How much does Saidot cost?+

Saidot does not publish prices. Plans and inclusions are shown on the pricing page, but prospective customers are directed to get started or contact sales, so pricing is not publicly disclosed.

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