Nigerian software engineer Babatunde Esanju is developing an artificial intelligence-driven platform to improve the efficiency and quality of elderly care services in Nigeria and the United Kingdom.
Esanju, based in Liverpool, United Kingdom, is the founder of CareSyntra, a digital care management system designed to streamline core operations in care homes, including medication tracking, staff scheduling, compliance reporting, and resident care planning.
He says the idea emerged from observing persistent inefficiencies in the sector, particularly the heavy reliance on manual processes.
“Every problem I saw was a software problem; not a hard one, just one nobody had solved properly for the providers who need it most,” Esanju said.
The platform applies AI tools to help care providers analyse resident data, detect inconsistencies in medication records, and generate automated reports intended to support regulatory compliance.
Esanju noted that administrative workload remains a major challenge in elderly care settings, often reducing the time available for direct patient interaction.
He also pointed to disparities between care systems in developed and emerging markets. While UK facilities are largely digitised, many care providers in Nigeria still depend on paper-based systems, increasing the risk of errors and inefficiencies.
CareSyntra, he explained, is designed to operate across both environments.
“CareSyntra is designed to address both realities. Its multi-tenant architecture allows multiple care providers to operate on the same platform while maintaining separate data and compliance systems,” he said.
Esanju added that Nigeria is a key focus for future expansion, citing growing demand for structured elderly care services as demographic and social patterns evolve in urban centres such as Lagos and Abuja.
“The best technology African founders build should be usable in Africa first. This is not a UK product being retrofitted for Nigeria; it’s a global platform with African ambition at its core,” he said.
The company is expected to scale deployment following its next funding round, with a cloud-based rollout model planned to support adoption in both markets.
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