The challenge
The same request kept arriving. Client after client wanted an agentic AI layer on their product, and every time the answer was to build one from scratch. We went looking for something local to build on and found nothing: no Nigerian platform doing this, and the Western alternatives priced for Western budgets.
So the choice was to keep rebuilding the same system at every request, or to build the product once. Luran is what we built. It solves our own immediate problem, and it removes the dependence on foreign tools that cost more than the businesses using them can justify.
What we built
Luran is a customer platform, and it grew outward from one pillar: agentic customer support.
AI support answers from the business’s own knowledge, using retrieval over their docs, policies and product notes, with each business’s knowledge isolated from every other. Around it sit no-code flow automation with a visual builder (detection, branching, API calls, knowledge lookups, all versioned and reviewable), a unified inbox where every thread across chat, widget and channel replies lands in one place attached to a persistent customer history, and follower-based broadcast channels for reaching customers who opted in.
Luran is multi-tenant from the ground up. One deployment serves many businesses, with each one’s knowledge, inbox and flows isolated from the rest rather than partitioned after the fact.
Knowing when not to answer
The easy part of an AI support agent is answering. The hard part is knowing when it should not.
An agent that always answers will confidently invent things, and in customer support a confident invention is worse than silence. It creates a support ticket, a refund request and a trust problem at once.
Luran decides in layers. Intent classification first establishes what a conversation is actually for, whether that is support, lead generation or something else, because the right response to a sales question is not the right response to a billing complaint. Model confidence then gates the answer itself, and retrieval is scoped to that business’s own knowledge, so the agent answers from something rather than from everything.
When the agent does not know, it does not guess. It hands over to a human automatically, with the conversation intact. Escalation is not a failure state someone has to notice; it is a designed path.
Outcome
Live in minutes is not a marketing line. There is no onboarding queue and no verification delay: create a workspace, upload your knowledge, pick a starter flow, and paste one line of HTML into your site.
Luran runs in production today as Beyric’s flagship product. It went from start to launch in six weeks.