Aurora Trust automates compliance with AI regulation — starting with the EU AI Act. Risk classification, documentation, and explainability reports, so your team can stay focused on building.
Connect any AI model or dataset. Aurora Trust analyses your system and assigns a risk tier under the EU AI Act — automatically, without legal expertise on your side.
See how it works →Technical documentation, conformity declarations, risk registers, and explainability reports — all produced instantly, structured for audit, written in plain language.
Explore the platform →AI regulation is a global wave. Aurora Trust starts with the EU AI Act — the world's most comprehensive framework — and is built to cover the regulations that follow.
See the landscape →AI regulation is here — and the EU AI Act is just the beginning. For most businesses, compliance means building from scratch: legal reviews, technical documentation, risk frameworks, audit trails. Every existing solution was built for enterprises with legal teams and consulting budgets. The 25 million SMEs who need help most have been left out entirely.
Up from 14% today. Rapid adoption without compliance infrastructure creates real legal and financial exposure.
Every current solution is consultant-driven and priced for enterprise — not the businesses who need it most.
The majority of EU AI Act obligations apply from August 2026. The window to prepare is narrowing.
Ready to understand your AI obligations?
Aurora Trust is a cloud-based API that connects to your AI systems, classifies their risk, and generates everything a regulator or auditor needs to see — automatically, in plain language. Built for the EU AI Act first, and designed to grow with global regulation.
Connect any machine learning model, decision engine, or dataset. Aurora Trust analyses the system against EU AI Act Annex criteria and assigns a risk tier automatically.
Annex I & IIIGenerate technical documentation, conformity declarations, and risk management records the EU AI Act requires. No legal background needed. Audit-ready from the outset.
Article 11 · Article 16Create plain-language transparency reports that explain how your AI works, what data it uses, and what decisions it influences — written for regulators and non-technical stakeholders.
Article 13 · Article 50Aurora Trust monitors your AI systems over time, flagging changes in behaviour, model drift, or regulatory updates that require documentation to be reviewed or reissued.
Post-deploymentMaintain a centralised register of every AI system your organisation uses or deploys — including third-party tools and embedded AI — with risk status visible at a glance.
Article 60 · Article 71Every risk finding and output is mapped to the specific articles, obligations, and evidence requirements of the EU AI Act, NIST AI RMF, and ISO 42001.
Multi-frameworkIntegrate via API or upload model metadata. Aurora Trust accepts any machine learning model, scoring system, or AI-powered product — regardless of framework or vendor.
The platform cross-references your system's purpose, context, and characteristics against EU AI Act Annex criteria. Risk tier, obligations, and evidence gaps are identified automatically.
Required technical documents, transparency notices, and risk records are produced immediately — structured for internal governance and external audit submission.
Receive alerts when regulations update, behaviour shifts, or new obligations apply. Your compliance posture stays current without manual effort.
If your company builds, deploys, or relies on AI systems in the EU, you have obligations under the AI Act. Aurora Trust is designed for the teams who need to meet those obligations without a dedicated compliance department.
AI used in credit scoring, fraud detection, and insurance underwriting falls under Annex III high-risk categories. Aurora Trust generates the required documentation and monitoring trail from day one.
AI systems influencing diagnoses, treatment plans, or patient triage carry strict documentation and transparency requirements. Aurora Trust structures audit-ready evidence from the first deployment.
Automated CV screening, candidate ranking, and employee monitoring are specifically named in Annex III. We generate the required impact assessments and transparency documentation automatically.
Personalisation algorithms, dynamic pricing, and customer scoring tools carry limited-risk transparency obligations. Aurora Trust identifies what applies and generates what is needed.
AI tools used for contract analysis, legal research, and regulatory advice require transparency and human oversight documentation. Aurora Trust maps obligations and produces the required notices.
If you build AI-powered products sold or deployed in the EU, you are a provider under the AI Act with specific obligations. Aurora Trust integrates into your workflow so compliance ships with the product.
The EU AI Act is the world's most comprehensive binding AI law — and Aurora Trust is built around it. But regulation is spreading fast across the UK, US, and Asia-Pacific. Understanding the full landscape is essential for any business building with AI.
European Commission publishes the first draft of the AI Act — proposing a risk-based regulatory framework, the first of its kind globally.
Passed 523 in favour. World's first horizontal AI law. Final text agreed after extensive negotiations over General-Purpose AI model rules.
Entered into force 1 August 2024. EU AI Office established. Foundational definitions and framework apply immediately.
Outright prohibition of manipulative AI, real-time biometric surveillance in public, and social scoring systems. AI literacy obligations (Article 4) begin.
GPAI and foundation model providers must comply: technical documentation, transparency, copyright compliance, and systemic-risk mitigations. EU AI Board, Scientific Panel, and Advisory Forum are operational.
The majority of AI Act obligations enter force — Annex III high-risk systems across healthcare, education, employment, law enforcement, and critical infrastructure. Transparency rules (Article 50) apply.
Rules for high-risk AI in regulated products (Annex II) apply. Legacy GPAI systems on market before August 2025 must be fully compliant.
AI components in large-scale EU IT systems must be fully compliant. Commission evaluates the functioning of the Act.
Note: Timelines may shift subject to the Digital Omnibus proposal (Nov 2025), which could link high-risk enforcement to standard availability, with long-stop dates of Dec 2027–Aug 2028.
Designed to be affordable for SMEs from day one. All plans include core compliance output — no hidden consulting fees, no setup charges.
Aurora Trust translates complex regulation into clear actions. You do not need a compliance team or legal counsel to understand your obligations and produce what regulators expect.
Connect your AI systems directly via API. Aurora Trust integrates into the way you build — not as an external engagement, but as infrastructure that runs alongside your product.
Every report Aurora Trust produces is written for a business audience, not a technical one. Regulators, boards, and customers can all read and understand what your AI does and why.
AI compliance has historically been available only to organisations that can afford large consulting engagements. Aurora Trust changes that — starting at €49 per month with no hidden fees.
Most compliance tools require weeks of setup and configuration. Aurora Trust is designed to be live in minutes — connect a system, get a risk classification, download your first document.
The EU AI Act is the starting point, not the limit. Aurora Trust is designed to grow with the global regulatory landscape — mapping obligations as new frameworks come into force.
Whether you are building an AI product, deploying AI internally, or simply trying to understand what AI regulation means for your business — we are here to help.
Fill in the form and someone from Aurora Trust will be in touch to discuss your situation, your systems, and how we can help.
We work with SMEs, scale-ups, enterprise compliance teams, and consulting partners at every stage — from early exploration to active deployment.
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