CEO
Saidot
Saidot provides an AI governance platform that gives enterprise AI agents an owner, a mandate, and a connected record, enabling organizations to move agents from pilot to production faster. The platform maps agent dependencies on models, tools, and data, with risks and controls inherited across connected components. It includes a library of 260+ risks, 620+ controls, 110+ policies, and 170+ AI models, plus integrations with Microsoft Azure AI Foundry and Amazon Bedrock.
- Regulatory & Compliance Technology
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
- Developer Tools
Updated 4 days ago
Funding
Raised to date
€1.8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $1.9Macross 2 rounds
BFVNot disclosed · Undisclosed
Announced Nov 2026
Disclosed cumulative: $1.9M
2/2
RoundDateAmountValuationInvestors
Founders
Product
Problem
Around half of enterprise AI agent projects remain stuck in the proof-of-concept or pilot stage due to security and governance concerns. Responsibility for each agent is spread across teams, vendors, and data owners, leaving no single person accountable. Nearly half of organizations have confirmed or suspected an AI agent taking an unintended or unauthorized action, yet few can consistently trace what an agent did.
Solution
Saidot provides an AI governance system of record for enterprise AI agents, giving every agent an owner, a mandate, and a record. The platform maps how each agent connects to the models, tools, and data it depends on, and who owns each part. When a component like a model or dataset is governed once, every agent that uses it inherits the right policies, risks, and controls. Saidot's MCP servers allow teams' own AI assistants to register agents and conduct risk assessments directly in the record, with named people reviewing and approving agent-drafted work. The platform supports compliance with regulations including the EU AI Act, ISO/IEC 42001, and NIST AI RMF, and integrates with Microsoft Azure AI Foundry and Amazon Bedrock for streamlined model evaluations.
Target Audience
Primary customers are large enterprises and Fortune 500 companies across financial services, pharma, media, technology, and the public sector that are deploying AI agents and need to manage accountability, risk, and regulatory compliance.
Features
- Centralized AI inventory for registering agents, systems, models, and datasets via web app, REST API, or AI assistant over MCP
- Agent Catalogue with owner, purpose, lineage, and autonomy level for each agent, with risk classification for every tool an agent can reach
- Saidot Library containing 260+ risks, 620+ controls, 110+ policies, and 170+ AI models and products
- Three MCP servers enabling AI assistants to register agents and draft risk assessments grounded in curated facts
- Integrations with Microsoft Foundry, Azure, and Amazon Bedrock, with 95% of the platform controllable via API
- Event-driven governance workflows that trigger notifications to owners in Slack or Jira when changes occur
- Control mapping to EU AI Act, ISO/IEC 42001, NIST AI RMF, and 110+ other policies with reusable evidence attachments
- Observability features that turn runtime events into incidents, reviews, and risk-level changes via webhooks and REST API