EU RegTech Intelligence · AI Act · NIS 2 · Ethics

Automate
AI Compliance
by Design

ComplAIance turns thousands of pages of overlapping EU regulations into actionable scored reports — automatically, accurately, and at scale.

EU AI Act NIS 2 Directive Ethical AI Guidelines Horizon Europe 40+ Compliance Concepts

Request a Pilot See How It Works

1,200+

Interdependent obligations across 3 EU regulations

€95B

Horizon Europe budget at compliance risk

€10M+

Maximum NIS 2 fine per incident

Integrated tools currently on the market

The Problem

EU Compliance is Overwhelming

Three overlapping regulatory frameworks, 40+ concepts, and billions in EU funding at stake — with no integrated tool to navigate them.

Overwhelming Complexity

AI Act + NIS 2 + Ethics Guidelines result in over 1,200 interdependent obligations across 3 overlapping regulatory frameworks.

Manual & Error-Prone

Manual review of thousands of pages leads to missed gaps, inconsistent interpretation, and potential funding risks.

No Gap Visibility

Absence of structured scoring and clear guidance from legal text hinders effective gap analysis and remediation planning.

Market Opportunity

A Wide-Open Field

The RegTech market for EU AI compliance is largely untapped, with enforcement deadlines creating immediate urgency.

€95B

Horizon Europe Budget

2021–2027 EU research and innovation investment requiring compliance documentation and audit trails.

€10M+

Max NIS 2 Fines

Per-incident fines under NIS 2 non-compliance — prevention is dramatically cheaper than remediation.

Zero

Integrated Tools Exist

No integrated automated tool currently covers EU AI compliance end-to-end. ComplAIance is first to market.

2026

Full AI Act Enforcement

Comprehensive enforcement begins 2026. EU institutions, SMEs, and consultancies need solutions now.

The Platform

One Platform. Complete Compliance.

Upload your documents and receive an automated compliance score, cited gap analysis, and remediation roadmap in minutes.

Input → Output

Project proposal PDF→ Compliance score

Technical deliverable→ Gap heatmap

Horizon Europe docs→ Cited guidance

Legal regulation text→ Audit report

🧠

Hybrid CNN + RNN + Transformer NLP

Ensemble deep learning pipeline for robust entity and relation extraction from legal documents.

🕸️

Neo4j Compliance Ontology

Graph-based knowledge structure covering 40+ compliance concepts across AI Act, NIS2, and Ethics.

🔍

Qdrant RAG + Clause-Level Citations

Vector embeddings and GPT-4 grounding deliver answers tied to specific legal clause references.

📊

Compliance Score + Visual Heatmap

0–1 scoring with visual gap heatmap and agentic orchestration via Waldiez & Go.

Architecture

Seven Modular Building Blocks

A robust, production-grade modular system for comprehensive and auditable compliance analysis at scale.

Ingestion Agent

PDF/OCR parsing and MinIO object storage. Handles PDF, DOCX, and HTML input formats.

NLP Extraction

CNN, RNN, and Transformer ensemble for entity and relation extraction from regulatory text.

Compliance Ontology

Neo4j graph with ~40 concepts across AI Act, NIS2, Ethics, and cross-regulation mappings.

Gap Analysis Engine

Regression scoring generates a 0–1 compliance heatmap with prioritised remediation output.

RAG Layer

Qdrant vector embeddings plus GPT-4 grounding deliver clause-level cited compliance answers.

Orchestration

Waldiez & Go manage the full agentic workflow including the human-in-the-loop reviewer agent.

Dashboard

FastAPI + React UI for audit review, interactive heatmaps, and PDF report export.

—

Human-in-the-Loop

A dedicated Reviewer Agent lets domain experts validate and override findings before finalization.

Process Flow

From Upload to Report

A fully automated end-to-end compliance assessment in seven steps.

Document Upload

PDF, DOCX, HTML accepted

Ingestion & Parsing

OCR + chunking in MinIO

NLP Extraction

CNN, RNN & Transformer

Ontology Mapping

Neo4j cosine similarity

Gap Analysis

Scores + heatmap

RAG Explanation

GPT-4 cited guidance

Report & Dashboard

Audit-ready PDF + UI

Deep Learning Innovation

A Hybrid Architecture

Three complementary model architectures, ensemble-fused for robust extraction from dense legal text.

CNN

Convolutional Neural Networks

Captures local syntactic patterns — keywords, article references, and regulatory identifiers. Fast, precise pattern detection.

RNN

Recurrent Neural Networks

Models sequential dependencies — obligation chains spanning multiple paragraphs. Understands temporal and procedural logic.

Transformer

Transformer Models

Extracts global semantic relationships at document level. State-of-the-art contextual understanding across long legal texts.

Why Now

The EU Enforcement Clock is Ticking

ComplAIance is strategically timed to reach market as regulatory deadlines force organisations across Europe to act.

2022

NIS 2 Directive Adopted

2024

AI Act Enters into Force

Aug 2025

AI Act Prohibitions Apply

2025

NIS 2 National Transposition

2026

Full AI Act Enforcement

2027

Horizon Europe Cycle Ends

Roadmap

Prototype to Market Leader

A phased approach from proof-of-concept through productisation to global scale.

Phase 1

POC

Oct 2025 – Feb 2026

Ingestion + NLP pipeline

Neo4j ontology build-out

RAG + GPT-4 grounding

React dashboard demo

Phase 2

Productize

Q2 2026

SaaS multi-tenant platform

Member-state legislation layer

API for integrators

Subscription billing

Phase 3

Scale

H2 2026+

Legal-domain fine-tuned LLM

GDPR + CRA modules

White-label for consultancies

Series A fundraising

The Builder

Built by a Researcher,
Not a Consultant

Panos Sampokilis

PhD Candidate · Founder

PyTorchspaCy TransformersLangChain Neo4jQdrant FastAPIReact DockerWaldiez/Go

Deep technical and domain knowledge at the exact intersection where it matters most.

Panos brings rare dual expertise: cutting-edge AI research combined with a deep understanding of Cross Member State Applicable Regulation. This isn't a compliance tool built by lawyers who hired engineers — it's an AI system built by someone who lives at the exact intersection of both disciplines, with a full tech stack spanning PyTorch, Neo4j, Qdrant, and more.

AutomateAI Complianceby Design