Arlequin AI
Category: AI Infrastructure
Paris-based AI company building topological neural networks (TNNs) for evidence-based analysis of complex, interconnected data in security, defence and enterprise workflows. Arlequin AI was founded in 2024. The company is led by Hugo Micheron. Based in Paris, France. Team size: 11-50. Total funding raised: $36.4M. Latest round: Series A. Key investors include redalpine, OTB Ventures, Bpifrance (Defence Innovation Fund), Vsquared Ventures, 10x Founders, Xavier Niel, ZEBOX, Kima Ventures, Better Angle.
- Founded
- 2024
- Headquarters
- Paris, France
- Team size
- 11-50
- Total funding
- $36.4M
Value proposition
AI-native platform for critical decision-making that analyzes relationships across heterogeneous data (documents, transactions, video, operational data) while tracing results back to underlying evidence — built on compute-efficient topological neural networks rather than LLMs.
Products and solutions
Sovereign data operations platform based on unsupervised AI models, proprietary topological neural network (TNN) architecture for large-scale relationship-aware analysis, evidence-traceable analysis for counterterrorism, fraud, money-laundering detection, information integrity, cybersecurity, and AI safety.
Unique value
Non-LLM, compute-efficient topological neural networks that learn from relationships between data points (not just individual points), requiring significantly less compute and energy than large-scale AI systems, with full auditability and sovereign European technology.
Target customer
Governments and large organisations (public institutions, ministries, government agencies, media organisations, major corporations) across Western and Eastern Europe.
Industries served
Security & Defence, Criminal and terrorist network investigations, Fraud & money-laundering detection, Judicial investigations, Information integrity, Cybersecurity, AI safety & security, Financial services, Media, Healthcare, Energy, Logistics
Technology advantage
Proprietary topological neural network (TNN) architecture — distinct from graph-based neural networks underpinning LLMs — designed to capture complex multipath interactions at scale with significantly less compute; unsupervised models requiring no training data or predefined ontologies; 100% auditable, no black box, no hallucination, fully sovereign pipeline.
How they differentiate
Unlike LLM-based approaches, Arlequin uses topological neural networks (TNNs) that require no training data, no predefined ontologies, and significantly less compute — offering traceable, explainable, auditable analysis of relationships in large fragmented datasets. Positioned as Europe's sovereign alternative to US/Chinese AI giants, opening a new architectural field rather than building European versions of existing technologies.
Main competitors
Palantir (data analysis/decision platforms), Mistral AI (European LLM alternative), LLM/graph-based neural network analytics platforms
Key partnerships
Research collaborations with INRIA, CNRS, Max Planck Institute, and universities of Oxford, Cornell, Princeton and UC Santa Barbara, Sciences Po.
Notable customers
Radio France (media), BNP Paribas Group, public institutions (ministries, government agencies) across Western and Eastern Europe
Major milestones
Founded 2024, €4.4M Seed round June 2025, €28M Series A September 2026, opened offices in London and Berlin, plans for Silicon Valley AI lab, technology deployed with governments across Western and Eastern Europe.
Growth metrics
~30 clients across 4 European countries (France, Germany, UK, Eastern Europe); ~50 employees (35 engineers, 15 PhDs/researchers/data scientists); offices in Paris, London, Berlin
Market positioning
European sovereign AI player focused on security, defence and critical decision-making, backed exclusively by European investors including Bpifrance's Defence Innovation Fund; positioned as Europe's alternative to LLMs for evidence-based analysis in a market worth trillions.
Geographic focus
Europe (France, UK, Germany) with expansion to Silicon Valley; technology deployed with governments and large organisations across Western and Eastern Europe.
About Hugo Micheron
PhD specialist in radicalisation, jihadism and Middle Eastern studies (ENS, Princeton, Sciences Po); expert in terrorism studies and geopolitical instability.
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Official website: https://arlq.ai/
