The GEMs Consortium, comprised of 29 Multilateral Development Banks (MDBs) and Development Finance Institutions (DFIs), has appointed Galytix, a leading agentic Artificial Intelligence (AI) company for financial services, and PwC, one of the world’s most trusted professional services networks.
Together, the two companies will serve as a data aggregator and will deliver a next-generation platform for the GEMs database to provide greater insights into EMDEs’ credit risk, reliable data management, and scalable analytical functionalities for platform users. An AI Agent trained on credit risk knowledge will power the platform and its analytical functionalities.
“Better, more accessible information leads to better decisions, and better decisions lead to real investment,” said Gregor Cigüt, Head of the GEMs Secretariat. “Our collaboration with Galytix and PwC will help GEMs enhance its work turning decades of risk knowledge into actionable market intelligence.”
GEMs is the world’s largest repository of credit risk data for EMDEs. The Consortium aggregates more than 40 years of historical data on MDB and DFI lending to private, public, and sovereign borrowers. The data, shared publicly through statistical reports, provides unique insights into default and recovery trends, helping institutions as well as investors assess creditworthiness and guide capital allocation in markets that have long suffered from data scarcity.
The new collaboration aligns directly with the G20’s call for more transparent, granular, and standardised credit risk data to mobilize private capital in emerging markets.
Under the joint effort, Galytix/PwC experts will reengineer the current GEMs platform unlocking analytical insights on decades of credit risk data across public, private, and sovereign lending.
“By better interpreting GEMs data through a powerful AI system, the new platform will turn static data into dynamic insights, helping users make faster, more informed decisions,” said Raj Abrol, CEO of Galytix.
At the heart of the reengineered platform is CreditX, a specialised credit risk AI Agent, trained for development finance. CreditX will help automate data ingestion, memo generation and peer comparisons, enabling faster data submission and reporting and sector and country-level breakdowns and comparisons.
“Ultimately,” said Cigüt, “the AI enabled GEMs platform will help the GEMs Consortium further challenge perceptions of emerging markets and developing economies’ risks and opportunities, fostering investor confidence and unlocking capital for the countries that need it most.”
GEMs statistics are available at www.gemsriskdatabase.org.
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