Galytix

Founded in 2015 by Raj Abrol and Jan Tlaskal, Galytix is a financial technology company headquartered in London that provides a generative AI-powered data analytics platform for financial institutions. CEO Raj Abrol's background as a consultant at Accenture and a senior manager at KPMG provides foundational experience in the financial sector's operational challenges. The firm was established to address the opportunity for banks, insurers, and asset managers to replace legacy systems with a more efficient end-to-end data platform.

Galytix targets its solutions toward global insurers, reinsurers, banks, and asset managers, with notable clients including Societe Generale. The company's business model is centered on its proprietary GX Platform, a data operating system that manages the entire data lifecycle for financial institutions. This platform discovers, ingests, curates, and structures both unstructured and structured data through algorithmic pipelines. By creating a connected data ecosystem, it generates early warning signals and predictive analytics, allowing clients to make faster and more informed decisions regarding credit, risk, and compliance. Revenue is generated by providing enterprise clients access to this platform, which helps automate manual, data-heavy processes like corporate credit lending and analysis.

The GX Platform serves as a holistic data operating system. A key feature is its use of a domain-trained ontology, which can be conceptualized as a knowledge brain, to connect disparate data with relevant domain knowledge in a secure environment. This ensures that the AI assistants provide transparent insights with full traceability to the source data, avoiding the inaccuracies of generic large language models. The platform's generative AI models are trained specifically on proprietary data for the financial services industry, addressing use cases in claims management, underwriting, and corporate credit. For instance, it can automate the entire workflow for corporate credit ratings, from data ingestion to the preparation of client credit analysis, which has been shown to increase decisioning speed by an estimated 30%. The company has received a total of $7.45 million in funding over nine rounds to support its global expansion and research and development efforts.

Keywords: data analytics, financial institutions, generative AI, credit risk management, insurance analytics, data operating system, predictive analytics, risk intelligence, unstructured data processing, financial data platform, corporate credit lending, data harmonisation, early warning signals (EWS), automated underwriting, claims management, AI assistants, data ontology, regtech, fintech, intelligent metadata, asset management tools, banking technology solutions