Synapse Analytics Raises $13 Million Series A to Scale AI Decisioning For Financial Institutions

Synapse Analytics, an AI decisioning platform for regulated financial institutions, has raised $13 million in a Series A funding round led by Partech, with participation from Algebra Ventures and Silicon Badia.

The latest investment will support the company's plans to expand its team, enter new markets, and accelerate its product roadmap as it scales its AI-powered risk decisioning infrastructure.

Speaking on the funds raised, Synapse co-founder and CEO Ahmed Abaza said,

"Today, I'm happy to share that Synapse Analytics has raised a $13M Series A. Banks and financial institutions cannot simply plug in the latest AI model and hope for the best, they need it to be explainable and well governed. These requirements were seen as barriers to AI innovation, but we worked to make these barriers become a competitive advantage to every financial institution!

"We are building technology that allows financial institutions, especially Risk teams to build, deploy, and operate AI while preserving their data, intellectual property, privacy, models, governance, and most importantly ownership of their decisions."

Synapse Analytics was founded around the application of artificial intelligence in regulated financial services. According to co-founder Abaza, the company deployed its first AI use case in 2018, giving it several years of experience building and deploying AI systems within financial institutions.

Abaza said the company's experience taught its team that building AI technology is only one part of the challenge, particularly in financial services where institutions must balance innovation with regulatory, security and governance requirements.

Banks and other regulated financial institutions require AI systems that are explainable and properly governed, while ensuring that data remains protected and regulators maintain visibility into how decisions are made.

Synapse Analytics has therefore focused on developing infrastructure that allows financial institutions, particularly credit and risk teams, to build, deploy and operate AI systems while maintaining control over their data, intellectual property, models and decision-making processes.

The company's co-founder, Galal Elbeshbishy, said Synapse initially began as an MLOps company before the rapid growth of generative and agentic AI. He said the company's early focus on AI infrastructure positioned it to address the challenge of deploying advanced AI within highly regulated environments.

According to Elbeshbishy, Synapse is building what it describes as an "AI Operating System for financial institutions," designed to enable banks and lenders to use advanced AI while retaining control over their data and intellectual property.

The company currently operates across seven countries spanning Latin America, Africa and the Gulf Cooperation Council (GCC) and says it has secured customers among leading financial institutions in these regions.

Synapse Analytics provides an agentic decisioning platform that enables credit and risk teams to automate decisions across areas including customer onboarding, credit, fraud and anti-money laundering (AML).

Its platform allows users to build, simulate, version and deploy risk policies without writing code. Financial institutions can also test policies against historical data before deploying them, helping teams assess potential outcomes and manage risk before changes go live.

The company said its technology has supported more than $200 million in lending, while helping some customers achieve up to five times higher customer acquisition and reducing non-performing loans by as much as 40%.

By providing low-code tools for business and risk teams, Synapse Analytics aims to simplify complex decisioning workflows, accelerate approvals and enable financial institutions to make faster and more secure decisions.

The company said the latest funding will allow it to continue expanding across the Middle East, Latin America and other markets while advancing its AI decisioning products.

The funding also comes as financial institutions increasingly explore AI for credit, fraud detection, compliance and customer onboarding, while facing growing demands around data protection, explainability, governance and regulatory oversight.