# Sireto

> 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.

NormLogic is a Regulatory Engineering platform developed by Sireto B.V., a Netherlands-based AI and software technology company. Category: AI + Regulatory Engineering. Sireto builds Regulatory Engineering infrastructure that turns human-readable regulation into structured, machine-readable and executable knowledge. NormLogic combines AI-assisted interpretation with formal regulatory models, deterministic execution and source-level provenance. This site is in English. Each page below has a Markdown version; https://sireto.com/llms-full.txt holds all of them in one file.

## Pages

- [Sireto: Turn regulation into machine-readable, executable knowledge](https://sireto.com/index.md): 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.
- [NormLogic: machine-readable and executable regulation platform](https://sireto.com/normlogic.md): 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. Product site: https://normlogic.ai
- [Technology: AI with evidence, structure and control](https://sireto.com/technology.md): The technology behind NormLogic: regulatory knowledge graphs, formal rule representations, domain-specific languages, provenance and temporal modelling, built on open standards.
- [Research that ships](https://sireto.com/research.md): Sireto's research follows the problems NormLogic has to solve: reliable requirement extraction, canonical regulatory models, agents that operate against rules, temporal and versioned regulation, auditable reasoning, and human-AI modelling workflows.
- [Engineering: applied AI for regulatory compliance and governance](https://sireto.com/engineering.md): Applied AI engineering from Sireto: automated regulatory compliance, regulation as code, agentic systems, regulatory knowledge engineering, LLM engineering, AI evaluation, AI infrastructure and secure enterprise integration.
- [Company: Sireto B.V., a Dutch AI and Regulatory Engineering company](https://sireto.com/company.md): 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.
- [openapi.ai: enterprise AI, under contract](https://sireto.com/openapi-ai.md): openapi.ai is Sireto’s AI infrastructure product: versioned, schema-frozen capability contracts enforced by the platform, on an OpenAI-compatible gateway for every model. Inputs and outputs are validated, failures are typed, published versions are immutable, and organisations control which providers process their data. Developed by Sireto B.V.. Not the OpenAPI Specification. Product site: https://openapi.ai; source: https://github.com/sireto-ai/openapi-ai.
- [Contact Sireto](https://sireto.com/contact.md): Talk to Sireto about a NormLogic demo, automated regulatory compliance, regulation as code, an AI engineering project or a research collaboration.

## Topics (one question each)

- [What is Regulatory Engineering?](https://sireto.com/regulatory-engineering.md): 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 applies knowledge representation, formal rules, provenance and validation to legislation, regulation, standards and policy, so that the requirements they contain can be checked, reasoned over and kept in step with change.
- [What is machine-readable regulation?](https://sireto.com/machine-readable-regulation.md): Machine-readable regulation is legislation, regulation, standards or policy represented in a structured format that software can parse reliably: documents, articles and provisions with stable identifiers, defined concepts, cross-references and metadata such as dates and jurisdiction. It makes regulatory text navigable and linkable by machines. It does not by itself make the rules executable; that is the next step, machine-executable regulation.
- [What is machine-executable regulation?](https://sireto.com/machine-executable-regulation.md): Machine-executable regulation is regulation whose requirements are expressed as formal rules that software can evaluate deterministically: given facts about a situation, the rules determine what is required, permitted or prohibited, and why. It goes beyond machine-readable regulation, which structures the text, by adding executable semantics, defined inputs and outputs, and provenance from each rule to the provision it implements.
- [What is a regulatory digital twin?](https://sireto.com/regulatory-digital-twins.md): A regulatory digital twin is a continuously maintained, computable representation of a regulatory environment: the legislation, guidance, standards and organisational policies that apply, the concepts they share, the systems and evidence they govern, and the rules that connect them. It can be queried, tested against scenarios and updated when regulation changes, so the downstream impact of a change becomes discoverable rather than discovered.
- [What is automated regulatory compliance?](https://sireto.com/automated-regulatory-compliance.md): Automated regulatory compliance is the use of software to evaluate an organisation’s policies, controls, data and system behaviour against regulatory requirements expressed as machine-executable rules. Instead of periodic manual reviews, checks run continuously or on demand, each finding cites the requirement and source provision it relates to, and results feed existing governance, risk and compliance processes. It supports compliance teams; it does not replace their judgement, and it makes no legal claims.
- [What is auditable AI?](https://sireto.com/auditable-ai.md): Auditable AI is an approach to building AI systems whose conclusions can be inspected, challenged and reproduced after the fact. It requires traceability from each decision back through the reasoning, the rules applied and the interpretation made, to the authoritative source that justifies them. In regulated work it complements explainability: not only why a model answered as it did, but which provision, which rule and which evidence the answer rests on.
- [What is regulation as code?](https://sireto.com/regulation-as-code.md): Regulation as code is the practice of expressing legislation, regulation or policy in a form that software can execute, alongside or instead of the natural-language text. It is closely related to rules as code, a movement associated with the OECD and several governments to draft rules in human- and machine-readable form together, and to policy as code, which applies the same idea to organisational and technical policies. The aim is consistent, testable implementation of rules across systems.
- [What is LegalRuleML?](https://sireto.com/legalruleml.md): LegalRuleML is an OASIS standard for representing the rules contained in legal and regulatory texts in a machine-readable form. It extends RuleML with features legal rules need: deontic modalities such as obligation, permission and prohibition, defeasible reasoning for exceptions and conflicts, temporal validity, jurisdiction, alternative interpretations, and references to the source provisions. It is a standard for the rules; Akoma Ntoso is the companion OASIS standard for the documents.

## Products

- [NormLogic product site](https://normlogic.ai): NormLogic is Sireto’s platform for transforming legislation, regulation, standards and policy into structured, machine-readable and executable regulatory knowledge.
- [openapi.ai product site](https://openapi.ai): openapi.ai is Sireto’s AI infrastructure product: versioned, schema-frozen capability contracts enforced by the platform, on an OpenAI-compatible gateway for every model. Inputs and outputs are validated, failures are typed, published versions are immutable, and organisations control which providers process their data.
- [openapi.ai community edition](https://github.com/sireto-ai/openapi-ai): self-hosted, AGPL-3.0.

## Contact

- [Contact form](https://sireto.com/contact): preferred route for demos, projects and collaborations.
- Email: info@sireto.com

## Optional

- [Sitemap](https://sireto.com/sitemap.xml)
- [LinkedIn](https://www.linkedin.com/company/sireto-technology/)
- [GitHub](https://github.com/sireto-ai)