The People Behind Qenai

Save Time. Cut Costs. Scale Faster.

We help African businesses increase revenue, reduce manual work, and scale faster with custom AI systems and workflow automation.

Our Story

Built on the belief that AI should work for people.

QEN AI was founded to solve a core problem: organizations fail at AI because of poor implementation, not bad technology. We combine deep technical expertise with operational consulting to guide you through every stage—from readiness to system building to adoption—ensuring AI aligns with your reality and your team actually uses it.

Team

Martin Maina

Co-Founder & CTO

Connect on LinkedIn

Martin is the heart of the technical build. He owns the engineering architecture, builds the platform engines, and brings the technical product vision to life.

Glory Munoru

Co-Founder & CSO

Connect on LinkedIn

Glory defines the company's direction and shapes the long-term vision. She designs product-market fit, develops core business models, and ensures strategic alignment across all initiatives.

Hansie Zefy

Co-Founder & COO

Connect on LinkedIn

Hansie drives relationships, ecosystem partnerships, and execution. He manages partner and stakeholder relationships, accelerates client growth, and keeps the operational engine running smoothly.

Our Approach

A problem-first approach grounded in operational reality. We begin by developing a deep understanding of organizational context, workflows, data, and priorities, then design and deploy AI systems aligned to those realities.

AI Readiness and Workflow Audits

Assessing processes, data flows, and operational constraints to establish a clear foundation for automation.

Problem Discovery and Prioritization

Identifying and ranking opportunities where intelligent automation can deliver the highest operational and financial impact.

Systems Design

Building autonomous and semi-autonomous workflows tailored to how organizations operate.

Implementation & Integration

Deploying AI systems that integrate cleanly with existing tools, infrastructure, and processes.

Adoption & Enablement

Equipping teams with the understanding and support needed to confidently use and sustain AI-enabled systems.