Galytix is deploying its CreditX AI Agent to provide greater insights into emerging market credit risks and support a consortium of 29 multilateral development banks (MDBs) and development finance institutions (DFIs) to increase investment flows into Emerging Markets
London: Tuesday, 30th September 2025: Galytix, the leading Agentic Artificial Intelligence company for financial services, today announced its appointment as part of a supplier consortium with PwC to support the Global Emerging Markets Risk Database (GEMs) Consortium to transform how the Consortium and broader audiences access and use credit risk statistics for emerging markets and developing economies (EMDEs).
As developed markets face growing debt burdens and slowing returns, investors are looking to EMDEs for new sources of growth. But access to high-trust, granular information remains a barrier to deploying capital confidently and effectively. Galytix is helping GEMs provide the statistics to inform a change.
This collaboration aligns directly with the G20’s call for more transparent, granular, and standardised credit risk statistics to encourage private capital flows into development finance.
GEMs aggregates over 40 years of default and recovery data across 29 MDBs and DFIs. It is the largest repository of credit risk data for EMDEs.
Galytix will transform GEMs into a next-generation, AI-powered platform that empowers investors, risk officers and member institutions to turn complex datasets into actionable intelligence, accelerating investment flows into the countries that need it most.
“Emerging markets hold enormous promise, but they’ve been held back by a lack of accessible, usable data-driven information,” said Raj Abrol, CEO of Galytix. “By embedding our AI agents directly into the GEMs platform, we’re helping unlock that potential – empowering investors and institutions with the clarity and confidence to act.”
At the core of this transformation is the Galytix AI Agent CreditX- trained on credit knowledge and purpose-built for aggregating data and automating credit and risk workflows for financial institutions.
Far from a generic chatbot, CreditX’s AI-powered features key functions which can empower experts by automating routine tasks like data ingestion, financial analysis, memo generation and peer comparisons in accordance with bank specific credit policy and defined templates; 30 hours of work can be done in 30 minutes.
It can also ensure trustworthy results with full data traceability thanks to its unique AI Agent Factory, which oversees a group of applied AI Agents trained on credit risk data and knowledge with “human in the loop” oversight.
Additionally it can deliver a step change in productivity and decision-making, helping banks to gain new insights into their customers, reduce costs, automate workflows and transform teams’ day-to-day work experience.
Galytix’s ability to deploy powerful AI agents in regulated, complex environments underpins its choice as a supplier supporting the GEMs Consortium in its efforts to boost development finance.
For more information, visit: www.galytix.com | www.gemsriskdatabase.org
A Proven Collaboration: Galytix and PwC
The GEMs transformation is being delivered through a collaboration between Galytix and PwC, combining cutting-edge GenAI agent technology with deep risk and implementation expertise. PwC has previously conducted independent efficiency and productivity assessments of Galytix’s AI agent deployments, confirming significant time savings and operational improvements across credit workflows. Together, Galytix and PwC bring a powerful blend of innovation and execution, making them ideally positioned to support GEMs and its 29 members on this strategic upgrade.
About GEMs
The Global Emerging Markets Risk Database (GEMs) Consortium is a joint initiative of 29 multilateral development banks (MDBs) and development finance institutions (DFIs) that pools credit risk data on their lending operations in Emerging Markets and Developing Economies (EMDEs) and provides members and the public with the related statistics. Governed by a Steering Committee co-chaired by the European Investment Bank (EIB) and the International Finance Corporation (IFC), GEMs is the largest database of credit risk statistics on EMDEs. The GEMs Consortium is committed to raising awareness of its statistics to spur private investment in EMDEs and support standard setting bodies and pivotal stakeholders in their assessments and perceptions of credit risks in EMDEs. For more information about GEMs, visit www.gemsriskdatabase.org
