A new push to improve the reliability of digital payments across Africa is taking shape as fintech infrastructure firm Insolify introduces a low-latency, artificial intelligence-driven payment system designed for environments with unstable connectivity.
The solution targets a persistent issue in fast-growing markets such as Nigeria and Kenya, where weak or inconsistent network signals frequently lead to transaction timeouts, disrupting both consumers and businesses. In many cases, failed payments translate into lost sales, delayed services, and inefficiencies across supply chains.
In a statement released on Monday, Insolify explained that although the system has been described as “offline-first,” its core innovation lies in predictive edge computing. This approach allows transactions to be processed locally on a user’s device during periods of poor connectivity, rather than relying entirely on constant communication with central servers.
By shifting lightweight AI decision-making closer to the user through distributed nodes and device-level integrations, the system is able to maintain functionality even when network quality drops. Preloaded risk data and balance snapshots enable transactions to proceed seamlessly, with final settlement completed once connectivity stabilises.
A senior software engineer at the company, Femi Alex, described the technology as a practical response to real-world conditions. He noted that the goal is not to reinvent distributed computing, but to ensure smoother user experiences—particularly in everyday scenarios where connectivity is unreliable, such as commuting or operating in remote areas.
The system has already been embedded into Insolify’s flagship platform, FinCore, a cloud-native core banking solution currently used by over 300 financial institutions, including banks, microfinance firms, and fintech lenders across Africa and the Middle East.
Much of the company’s technical direction has been shaped by its chief architect, Billah Muayyat, a self-taught engineer recognised within industry circles for his expertise in low-level programming and financial systems design. While he maintains a low public profile, colleagues attribute much of Insolify’s engineering strength to his focus on execution and system architecture.
Beyond its core infrastructure offerings, the company is also advancing digital inclusion through its Safi platform, which enables financial interactions in multiple African languages, including Pidgin, Igbo, Hausa, Yoruba, and Swahili—broadening access for underserved populations.
Operating as a privately held firm, Insolify has not disclosed formal funding rounds and instead follows a revenue-driven enterprise model. However, industry analysts estimate its valuation at approximately $1.5 billion, based on transaction volumes and comparable fintech infrastructure deals. Public records further suggest that Muayyat holds about a 10 per cent stake in the company, tying his estimated net worth closely to its performance.
The launch comes amid increased regulatory focus on payment system resilience, with institutions such as the Central Bank of Nigeria and the Central Bank of Kenya encouraging the development of more robust digital infrastructure.
As demand rises for dependable payment solutions beyond major urban centres, Insolify’s AI-powered system could play a significant role in expanding financial access across underserved regions—quietly reinforcing the importance of resilient, locally adaptive technology in Africa’s digital economy.