As artificial intelligence moves from experimental tool to production infrastructure across African businesses, a new category of company is emerging to solve the problems that come with that transition. Cencori, a Nigerian AI infrastructure startup, has been named Connecting Africa's hot startup of the month for May 2026, drawing attention for building what it describes as a unified gateway that secures, routes, and monitors AI model requests for production applications.

The product sits at a layer of the AI stack that most consumer-facing narratives about artificial intelligence do not cover. When a company deploys an AI model in a real business environment, it is rarely using just one model. It might use GPT-4 for one task, Claude for another, and a locally fine-tuned model for a third. Managing those requests, ensuring they reach the right model, monitoring for errors, controlling costs, and maintaining security across all of them simultaneously is a genuine engineering challenge. Cencori is building the infrastructure layer that handles it.

Why It Matters for African Businesses

African businesses adopting AI face a specific version of this challenge. Cost sensitivity is high, meaning the ability to route requests to cheaper models when appropriate can significantly reduce AI running costs. Reliability requirements are demanding given infrastructure constraints. And data privacy concerns, particularly for financial services companies operating under the Nigeria Data Protection Act, mean that not all queries can be sent to foreign model providers without careful governance controls.

Cencori's gateway addresses all three by giving developers a single integration point that manages model selection, cost optimisation, and security monitoring without requiring them to build and maintain that infrastructure themselves.



The Broader Trend

Cencori's emergence reflects a maturation of Nigeria's AI ecosystem. The first wave of African AI companies focused on building AI-powered consumer products, chatbots, recommendation engines, and fraud detection tools. The second wave, now beginning, is building the infrastructure that makes it easier and safer for every African company to deploy AI regardless of their internal technical capacity. That infrastructure layer, covering model gateways, AI observability, vector databases, and fine-tuning pipelines, is where some of the most durable AI businesses of the next decade are likely to be built.