Sinaps Analytics raises $13 million to automate credit decisions within banks' closed infrastructure

Sinaps Analytics, which develops AI-agent-based decision-making infrastructure for financial institutions, announced that it raised $13 million in a seed round led by global tech investor Partk, with participation from Aljabra Ventures and Silicon Badia. The round brings the company’s total funding since its 2018 founding to $17 million, while the valuation and financial terms were not disclosed.

The company is headquartered in Abu Dhabi, the United Arab Emirates, and works with banks, non-bank financial institutions, fintech firms and telecom operators across the Middle East, Africa and Latin America. It was founded by Ahmed Abaza and Jalal Al-Bashbishi to address a structural dilemma facing banks subject to stringent regulatory frameworks, where leveraging the speed and efficiency of advanced AI models requires sending sensitive customer data and transactions to external servers and compute clouds beyond the institution’s control, which conflicts with banking data-governance and financial confidentiality requirements.

Building self-contained models within closed walls eliminates the trade-off between automation speed and protection of financial record confidentiality.The platform enables institutions to deploy their intelligent infrastructure across the client’s various technical environments, whether local on-premises servers, private clouds, public clouds, sovereign clouds, or even completely isolated environments without internet connectivity. The company’s proprietary models run exclusively and independently within the beneficiary institution’s perimeter, preserving data privacy and governance rules without sacrificing analytical power or the speed required for operation.

The platform’s capabilities span a broad range of critical processes, including verification of new customer identity and onboarding, creditworthiness assessment, fraud detection, and anti-money-laundering. The system gives risk and credit management teams the authority to modify credit policies and test their impact directly on historical performance data before actual deployment in production, allowing scaling of automation with full operational confidence and without entangling regulatory compliance complexities.

Commenting on the expansion path, CEO Ahmed Abaza explained that the core goal is to provide institutions with the infrastructure needed to make faster, safer decisions, reduce risk levels, and enhance growth and customer relationships. Co-founder and COO Jalal Al-Bashbishi added that the current step goes beyond supporting traditional underwriting decisions to empowering intelligent agents that work alongside human teams to refine credit policies, monitor portfolios in real time, and detect emerging risks and opportunities as borrower behavior and market conditions shift, aiming to build a smart operating system for the next phase of financial services.

The shift from static algorithms to software agents reshapes the requirements of compliance and credit teams in Gulf and Egyptian markets.The model imposes a new practical reality on banks and financing companies in the region, eliminating the regulatory-constraint excuse that has long hampered the use of AI in credit auditing and fraud prevention. With central banks in the Gulf and Egypt requiring sensitive banking data to remain within national borders or closed local servers, having a technology stack that operates in isolated environments or sovereign clouds becomes a mandatory competitive standard. This development not only reduces the cost of reviewing financing files and accelerates decision issuance from days to seconds, but also requires risk officers to acquire new skills for digitally testing credit policies and simulating their outcomes instead of relying on rigid linear rules.

Sinaps Analytics intends to use the new funding to expand its team and accelerate the pace of developing its technology products, while strengthening its presence in international markets that are seeing growing demand for financial decision-making solutions that comply with digital-sovereignty requirements. As competitive pressure intensifies between traditional banks and emerging fintech firms, infrastructure capable of operating in isolated environments serves as the vital link for integrating advanced automation without compromising financial safety requirements.