• UAE-based AI startup Synapse Analytics has raised $13 million in a Series A round led by Partech, with participation from Algebra Ventures and Silicon Badia, bringing its total funding to $17 million.
• Founded in 2018 by Ahmed Abaza and Galal Elbeshbishy, Synapse Analytics develops an agentic AI decisioning platform for regulated financial institutions, enabling credit and risk teams to build, test, modify and deploy policies while retaining control over their data and decision-making infrastructure.
• The new funding will be used to grow the team, accelerate product development and expand Synapse Analytics' international presence.

Press release:

Synapse Analytics, an AI company  that builds agentic decisioning infrastructure for regulated financial institutions putting  policy control directly in the hands of credit and risk teams, announced today that it  has raised $13 million in a Series A funding round, bringing the total raised to  $17 million since inception. Terms of the transaction and valuation were not  disclosed. 

The round was led by Partech, a global technology investment firm, with additional participation from Algebra Ventures and Silicon Badia. The new capital will be used  to scale the team, accelerate product development and expand international market  reach. 

Synapse Analytics Co-founder and CEO Ahmed Abaza said, "Our mission is to  give financial institutions the intelligence and decision infrastructure they need to  make faster, more secure decisions to reduce risk, unlock growth and build stronger  customer relationships. Partech’s investment reflects the momentum we have built and gives us the backing of a leading global technology investor to pursue the next  stage of that ambition.” 

Headquartered in Abu Dhabi, UAE, and working with banks, non-banking financial  institutions, fintechs and telcos across the Middle East, Africa and Latin America,  Synapse Analytics has transformed how financial institutions make risk-based decisions. 

As financial institutions automate more of their processes, they face the fundamental  challenge that capturing the speed, efficiency and sophistication of AI-native models means sending sensitive data outside the institution and relying on infrastructure  they do not control.

Synapse Analytics was built to remove that trade-off. Its decisioning solution can be  deployed in any environment within the institution’s own perimeter — on-premise, in  private, in public or sovereign cloud, or air-gapped — allowing banks and financial  institutions to automate decisions across onboarding, credit, fraud and AML while  retaining control of their data, policies and the intelligence generated by every  decision. Synapse Analytics’ proprietary models run entirely within the client’s  infrastructure, supporting compliance and control without sacrificing capability. 

With Synapse Analytics solutions, Risk and Credit teams can change policies directly  and test the impact against historical data before deployment, giving institutions the  ability to introduce AI at scale without giving up the governance and control required  in regulated financial services. 

With the adoption of digital financial services rising, financial institutions around the  world are under growing pressure to make faster and more secure risk-based decisions at a larger scale while meeting the regulatory and data-governance  requirements of the markets in which they operate. Synapse is at the heart of this  shift, giving institutions the necessary infrastructure to succeed. 

Commenting on the investment, Lewam Kefela, Principal at Partech, said, “We're  excited to back Synapse Analytics as it builds the category-leading decisioning  infrastructure for banks and financial institutions across the Middle East, Africa and  Latin America. Ahmed, Galal and their team have the technical depth and execution  to scale it, and we look forward to supporting their next phase of growth.” 

Co-founder and COO, Galal Elbeshbishy, said, “We built Synapse Analytics to help  financial institutions make better underwriting decisions. Today, we’re taking that a  step further by working with banks, fintechs, and other firms to enable intelligent  agents that actively work alongside their teams — helping them build and refine  credit policies, continuously enhance underwriting criteria, and monitor portfolios in  real time. These agents identify emerging opportunities and risks, help institutions  grow their portfolios while reducing risk, and allow them to react quickly as market  conditions and borrower behaviour change. Our vision is to create the AI operating  system for the new age of finance.”