CityZeen
CityZeen provides an AI-native platform for institutional commercial real estate and sustainable-infrastructure workflows, addressing structural illiquidity in private assets. The platform combines geospatial AI, Bayesian Monte Carlo valuation, and an SFDR classifier to deliver evidence-linked decision support and prospective secondary-market access for qualified investors. It is pursuing an AIF authorisation route in Luxembourg with a regulatory stack spanning MiFID II, AIFMD, and SFDR.
- Property Technology
- Artificial Intelligence
- Financial Technology
- Commerce & Shopping
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Institutional commercial real estate suffers from structural illiquidity, with European SCPI shares queued for withdrawal at unprecedented scale and investors unable to exit even at a loss. The asset class lacks transparent price discovery, relies on appraiser-based valuations rather than market signals, and imposes high minimum tickets that exclude most professional investors. ESG reporting for private real estate remains manual and non-standardized, while settlement times stretch for months due to notary overhead and fragmented workflows.
Solution
CityZeen provides an AI-native platform that digitizes institutional real-asset workflows across evidence management, asset passports, and decision support. The platform enables a controlled secondary-market workflow for qualified investors, supported by geospatial AI that fuses satellite, cadastral, and partner data into ranked, evidence-linked signals. Dynamic pricing is delivered through a proprietary Bayesian Monte Carlo valuation methodology with an integrated SFDR classifier, replacing consultant reports with continuous, audit-trailed quantitative pricing. The company is pursuing an AIF authorisation route in Luxembourg, with the regulatory stack designed as the platform's substrate rather than an overlay.
Target Audience
Primary customers are institutional investors, asset managers, and family offices seeking liquidity and data-driven valuation for private commercial real estate and sustainable-infrastructure assets, particularly those operating under EU regulatory frameworks.
Features
- AI matching engine with explainable scoring across hard filters and soft dimensions, plus SHA-256-hashed reproducibility per match
- Geospatial AI workflow with multi-source satellite, cadastral, and partner data fusion, surfaced through an AI search interface with GeoStamp scores
- Bayesian Monte Carlo valuation methodology producing audit-signed, replay-ready pricing outputs, with every quote ed25519-signed for regulator inspection
- SFDR Article 8 & 9 classifier for automated ESG classification and PAI reporting alignment
- Regulatory stack covering MiFID II, AIFMD, SFDR, GDPR, eIDAS, and AML5/6 frameworks
- Multi-tier billing architecture for the matching engine surface