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Saidot

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Saidot is an agentic-first, graph-based AI governance platform built to help organisations govern AI systems, agents, models, and datasets at scale. Founded in 2018, Saidot is one of the earliest dedicated AI governance platforms and is designed around EU AI Act requirements from the ground up. At the core is the knowledge in the Saidot Graph, which connects AI systems to their models, agents, datasets, risks, policies, and controls. When a model's risk profile changes, every system and agent that uses it updates automatically. This means governance scales with your AI portfolio, not against it. Saidot consists of two connected products: 1. Saidot Library, an expert-curated knowledge base of 260+ AI risks, 620+ controls, 110+ policies, plus risk analyses on 100+ AI models and products. Teams never start governance from scratch. 2. Saidot Governance, an AI inventory for governing systems, agents, models, and datasets across their full lifecycle. Includes risk classification, compliance templates, evidence management, transparency reports, and review workflows and other automations. Key capabilities: \* AI inventory: document in-house and third-party AI systems, agents, models, and datasets in one place, with direct platform connections to the insights in the Library keep them up to date, or your own AI/ML and GRC platforms. \* Risk management: automatically identify and inherit risks from models, products, and datasets, then assign controls from a curated Control Catalogue. \* EU AI Act compliance: step-by-step templates, automated classification, and reusable evidence across systems. \* Knowledge graph automations: risk inheritance, control inheritance, and risk level propagation across linked components. \* Agentic governance: Agent Catalogue with purpose, autonomy level, tool access, and inherited risks, plus MCP servers and APIs for programmatic governance. \* Reviews and reporting: send systems for internal or external review, export audit-ready transparency reports. What Saidot solves: Most AI governance today is disconnected documentation — spreadsheets, questionnaires, and policy PDFs that fall out of date the moment a model changes. Saidot replaces this with a living, connected governance layer where risks, controls, and compliance evidence stay linked to the AI systems they apply to. The result: organisations can scale AI confidently while meeting regulatory requirements like the EU AI Act without duplicating manual work across every system.

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