# Sireto: Turn regulation into machine-readable, executable knowledge > Sireto is a Dutch AI and Regulatory Engineering company building infrastructure that transforms legislation, regulation and policy into structured, machine-readable and executable regulatory knowledge. Canonical: https://sireto.com/ AI + Regulatory Engineering. Sireto builds Regulatory Engineering technology that transforms legislation, regulation and policy into structured, traceable and executable knowledge for compliance, decision support and AI systems. At the centre is NormLogic, our platform for machine-readable and executable regulation. ## The problem Regulation was written for humans. Modern systems need more. Regulatory requirements stay trapped in PDFs, legal text, standards documents, policy documents, guidance and manually maintained compliance rules. This produces duplicated interpretation, slow regulatory updates, inconsistent implementation, opaque AI reasoning and weak traceability. AI can help interpret regulatory text, but probabilistic interpretation alone is insufficient for high-trust systems. The missing layer is structured, machine-readable and executable regulatory knowledge. ## NormLogic: from regulation to executable rules NormLogic is Sireto’s platform for transforming legislation, regulation, standards and policy into structured, machine-readable and executable regulatory knowledge. NormLogic is a Regulatory Engineering platform developed by Sireto B.V., a Netherlands-based AI and software technology company. 1. Source: legislation, regulation, standards, policy and guidance. 2. Structure: documents, provisions, concepts and relationships. 3. Regulatory knowledge: requirements, obligations, permissions, prohibitions, conditions and exceptions. 4. Execution: machine-readable rules and regulatory reasoning. 5. Evidence: provenance, explanation and audit trail. Key concepts: source-to-decision traceability, regulatory knowledge representation, provenance-aware reasoning, machine-executable rules, deterministic validation around probabilistic AI. NormLogic combines AI-assisted extraction, regulatory knowledge modelling, provenance and formal rule representations, with interoperability support for standards such as LegalRuleML and Akoma Ntoso. ### Automated regulatory compliance The NormLogic compliance checker reads an organisation's policies, procedures and controls and evaluates them against the structured requirements of regulations such as DORA, MiCA and PSD2. It reports coverage and gaps per obligation, attaches the source provision to every finding, and hands results to existing GRC tooling. It supports compliance teams; it makes no legal claims. ## What is Regulatory Engineering? Regulatory Engineering is the design and development of systems that transform regulatory requirements into structured, machine-readable, testable and executable representations that software and AI systems can use. Its elements: structured legal sources, knowledge representation, formal rules, provenance, regulatory reasoning, automated compliance, interoperable standards. See https://sireto.com/regulatory-engineering. ## AI with evidence, structure and control We use AI where probabilistic reasoning is useful, and formal systems where determinism, validation and auditability are required. AI: extraction, classification, interpretation, assistance. Structured regulatory models: validation, consistency, provenance. Formal rules: deterministic execution. Evidence: source-level traceability. AI extracts and assists. Structured models validate. Formal rules execute. Compared with LLM-only systems (good at interpreting text, probabilistic, hard to audit deterministically) and traditional rule engines (deterministic, but rules are expensive to author and update and disconnected from source regulation), NormLogic combines AI-assisted extraction, structured regulatory knowledge, formal machine-executable rules, and provenance and auditability. ## Products - NormLogic (https://normlogic.ai): Regulatory Engineering platform for machine-readable and executable regulation. See https://sireto.com/normlogic. - openapi.ai (https://openapi.ai): AI infrastructure product; versioned, schema-frozen capability contracts on an OpenAI-compatible gateway, with validation, typed failures and data governance. See https://sireto.com/openapi-ai. ## Capabilities Automated regulatory compliance, regulation as code, agentic systems, regulatory knowledge engineering, LLM engineering, AI evaluation, AI infrastructure, secure enterprise integration. ## Use cases Regulatory compliance; regulatory change management; public administration; AI governance; regulatory digital twins; decision support. ## Standards and interoperability LegalRuleML, Akoma Ntoso, W3C PROV, prEN 18286, knowledge graphs and regulatory ontologies, formal rules and domain-specific languages. NormLogic enables interoperable representations of regulatory requirements that can be exchanged, validated and executed across systems and organisations. ## Built for Europe's regulatory digital future Europe is moving toward interoperable digital services, trustworthy AI and data-driven regulatory compliance. Sireto develops the technical infrastructure needed to represent regulatory requirements in forms that software and AI systems can understand, validate and execute. Sireto B.V. is based in the Netherlands. ## Frequently asked questions ### What does Sireto do? Sireto is a Dutch AI and Regulatory Engineering company building infrastructure that transforms legislation, regulation and policy into structured, machine-readable and executable regulatory knowledge. ### What is Regulatory Engineering? Regulatory Engineering is the design and development of systems that transform regulatory requirements into structured, machine-readable, testable and executable representations that software and AI systems can use. It combines structured legal sources, knowledge representation, formal rules, provenance, regulatory reasoning, automated compliance and interoperable standards. ### What is NormLogic? NormLogic is Sireto’s platform for transforming legislation, regulation, standards and policy into structured, machine-readable and executable regulatory knowledge. NormLogic is a Regulatory Engineering platform developed by Sireto B.V., a Netherlands-based AI and software technology company. Its first application is automated regulatory compliance: checking an organisation’s policies and controls against the regulations that apply. ### How does NormLogic work? In five stages. 1. Source: legislation, regulation, standards, policy and guidance are ingested. 2. Structure: documents, provisions, concepts and relationships are identified with AI assistance. 3. Regulatory knowledge: requirements, obligations, permissions, prohibitions, conditions and exceptions are modelled and reviewed. 4. Execution: formal, machine-executable rules evaluate situations deterministically. 5. Evidence: provenance, explanation and an audit trail connect every decision to its source. ### What is the difference between machine-readable and machine-executable regulation? Machine-readable regulation structures the text so software can find and link provisions, concepts and requirements. Machine-executable regulation expresses those requirements as formal rules software can evaluate deterministically against data. NormLogic produces both and keeps the executable rule connected to its readable source. ### How does AI support regulatory compliance? AI is used where interpretation is needed: extracting requirements from regulatory text and mapping policies to them. Structured regulatory models validate the result and formal rules execute the checks deterministically, so every finding is reproducible and cites its source provision. AI assists; it does not decide, and it makes no legal claims.