Synapse Analytics has raised $13 million in a Series A round led by global technology investment firm Partech, bringing the company’s total funding to $17 million since inception. Existing investors Algebra Ventures and Silicon Badia also participated in the financing, while the company did not disclose its valuation or other transaction terms. The Abu Dhabi-headquartered startup plans to use the capital to expand its team, advance product development, and grow its presence across international markets.
Building AI Infrastructure for Financial Decisioning
Founded in 2018 by Ahmed Abaza and Galal Elbeshbishy, Synapse Analytics develops AI-powered decisioning infrastructure for regulated financial institutions. Its platform enables banks, fintech companies, non-bank financial institutions, and telecommunications providers to automate and manage decisions across areas including credit, onboarding, fraud detection, anti-money laundering, collections, and customer segmentation. The company currently operates across the Middle East, Africa, and Latin America.
Synapse’s technology is designed to address a key challenge facing financial institutions as they adopt more advanced artificial intelligence systems. Banks and other regulated organizations often need to balance the benefits of AI-driven automation with strict requirements around data privacy, governance, security, and regulatory compliance. Synapse allows institutions to deploy its models within their own infrastructure, including on-premise environments, private or sovereign clouds, and fully air-gapped systems.
Giving Risk Teams Greater Control
The company’s platform allows credit and risk teams to create, modify, simulate, version, and deploy decision policies without transferring sensitive information outside the institution. Teams can test proposed policy changes against historical data before putting them into production, giving institutions greater visibility into how changes could affect risk and portfolio performance. Synapse says this architecture helps financial institutions adopt AI while retaining ownership of their data, decision logic, and accumulated intelligence.
Co-founder and CEO Ahmed Abaza said the company aims to provide financial institutions with the infrastructure needed to make faster and more secure decisions while reducing risk and supporting growth. He described Partech’s investment as validation of the company’s progress and an opportunity to accelerate its next phase of expansion. Synapse has so far supported more than $200 million in lending and says its technology has helped customers reduce non-performing loans by as much as 40%.
Expanding Toward Agentic Finance
Synapse is also extending its platform beyond traditional automated underwriting toward intelligent agents that can work alongside financial-services teams. Co-founder and COO Galal Elbeshbishy said these systems can help institutions refine credit policies, improve underwriting criteria, monitor portfolios, and identify emerging risks and opportunities in real time. The company ultimately wants to position its technology as an AI operating system for a new generation of financial institutions.
Partech Principal Lewam Kefela said the investment reflects the firm’s confidence in Synapse’s potential to build a leading decisioning platform for banks and financial institutions across emerging markets. Partech, which manages close to €3 billion in assets and has a portfolio of roughly 220 companies across 40 countries, will provide Synapse with global networks and scale-up expertise alongside the funding. The investment adds another financial-technology company to Partech’s portfolio as demand for AI-based infrastructure continues to grow across regulated industries.
The Series A gives Synapse Analytics additional resources to scale its technology as financial institutions seek faster decision-making without compromising control over sensitive information. By keeping its AI models and policy infrastructure within customers’ own environments, the company is positioning itself around governance and data sovereignty as much as automation and performance. Its next phase will focus on expanding that model internationally while developing increasingly autonomous tools for credit, risk, and financial decision-making.