Lean Technologies and Synapse Analytics have entered into a strategic partnership to enhance AI-powered credit decision-making across the Middle East, North Africa (MENA) region.
This collaboration will integrate Open Banking data with advanced AI-driven analytics, offering secure and improved lending services in the region.
The partnership aims to develop an end-to-end Credit Decisioning and Analytics platform for lenders operating in Saudi Arabia, the United Arab Emirates (UAE), and other Gulf Cooperation Council (GCC) countries. By combining Open Banking data with Synapse’s AI-native decision-making environment, institutions will gain tools to responsibly expand credit access, accelerate lending decisions, and support financial development.
Details of the Lean Technologies x Synapse Analytics Partnership
The strategy includes a new decisioning stack that merges Lean’s Open Banking data infrastructure with Synapse’s AI-driven credit decisioning platform. This will enable financial institutions to instantly access and enrich real-time financial data, combine bureau data with cashflow-based insights for underwriting, deploy Auto-AI/ML models alongside existing policies, and build, test, and monitor risk strategies transparently and quickly.
Synapse Analytics already powers decision-making use cases in Egypt, Latin America (LATAM), and the MENA region. Meanwhile, Lean provides a large regulated Open Banking network in Saudi Arabia and the UAE. Through their combined expertise and offerings, the companies will continue to address clients’ needs while ensuring regulatory compliance.
This collaboration is particularly timely given ongoing developments in Open Banking and Open Finance frameworks by several regulators in Saudi Arabia, the UAE, and across the MENA region. With consumer consent, Lean and Synapse’s platform will allow lenders to responsibly leverage alternative data sources while adhering to local regulations.
By integrating Lean’s data acquisition layer with Synapse’s decision engine, the partnership is expected to provide regional lenders with a unified, AI-ready environment that reduces underwriting complexity, expands addressable markets, and supports goals of financial inclusion and economic diversification.
