Organisation Name

Cyan Reef

Industry

Financial services, professional services

Organisation Website

https://www.cyanreef.com/

Country

Netherlands

Sustainable Development Goals (SDGs)

General Description of the AI tool

Emberlight uses AI to monitor 180,000+ companies globally, detecting governance failures, financial misconduct, and ESG violations before they impact markets. Fine-tuned LLMs with agentic architecture analyze regulatory filings, legal records, to identify board behavior anomalies, compliance, and corporate crises. Capabilities: shareholder voting analysis, real-time regulatory alerts, and C-suite warning signals. Unlike premium legacy providers serving only elite, we democratize governance intelligence through tiered subscriptions – allowing 99% of investors to access real-time protection.

Relevant Research and Publications

1. Kysucky, V., Norden, L. (2016). "The Benefits of Relationship Lending: A Meta-Analysis," Management Science
Established our research foundation in financial risk assessment and information asymmetry core problems our AI addresses by democratizing governance intelligence previously limited to relationship-based insights.
2. Kysucky, V., et al. "Credit market concentration, relationship lending and the cost of debt," International Review of Financial Analysis
Informed our understanding of how information gaps create market inefficiencies, directly shaping our mission to reduce governance information asymmetry between institutional and retail investors.
3. Research Project: "Fractal Security Design: New Approach Towards Risk in Asset Management"
Shaped our multi-layered anomaly detection architecture, applying fractal pattern recognition to identify governance risks across different organizational scales – from individual board decisions to systemic market failures.
4. SEC-Parsers: Open-source toolkit for parsing SEC EDGAR filings (GitHub: john-friedman/SEC-Parsers)
Essential infrastructure for our data pipeline. This parser enables systematic extraction of structured and unstructured data from regulatory filings at scale, forming the foundation for our AI models to process governance disclosures across companies efficiently and consistently.

Needs