A Kenyan startup is betting that the future of enterprise software looks nothing like what we use today. Lua, based in Nairobi, just secured $5.8 million (approximately KES 748 million) in seed funding to build AI agents that do not just assist workers—they replace entire workflows.
The funding round was led by Norrsken22, with participation from Y Combinator, Flourish Ventures, P1 Ventures, and Enza Capital. Notably, how Lua positions itself in the enterprise AI space, moving beyond the familiar territory of chatbots and productivity tools.
Beyond Copilots and Assistants
Founded in 2023, Lua provides a platform for organizations to create autonomous agents that handle multi-step workflows such as customer onboarding, loan processing, and claims management. These agents operate through existing business channels like Slack, WhatsApp, and email.
We are in the race to shape how human-agent collaboration gets defined globally. Organisations will be blends of humans and AI agents collaborating.
Co-founder Lorcan O'Cathain makes a compelling case for why traditional enterprise software design is becoming obsolete. Most business software still operates on the assumption that work gets broken into steps, passed through different systems, and tracked by people at each stage.
Solving Real Problems in African Markets
The startup's early deployments in Kenya focus heavily on financial services, where manual processing creates significant delays. Some Kenyan banks currently take 3 to 5 days on average to process unsecured retail loans, with manual KYC checks and document verification driving most of these delays.
Lua's agents can take a loan application and carry it through multiple stages without human handoffs. The agent collects data, checks conditions, applies rules, and only escalates when uncertainty is high. This approach directly addresses the operational constraints that plague African financial institutions.
The Human-Agent Collaboration Model
O'Cathain envisions a future where technical and non-technical teams blur together as agents handle execution-heavy work across functions. I find this particularly relevant for African markets, where skilled technical talent remains scarce and expensive.
One of the most valuable skills someone will have will be the ability to manage agents and help improve them.
The startup operates through existing business channels rather than requiring companies to adopt new interfaces. This design choice shows they understand the reality of African enterprises, where WhatsApp and email remain primary communication tools.
What makes Lua's approach compelling is how it addresses a fundamental constraint in African business operations. Many companies across the continent struggle with scaling operations due to limited human resources and complex manual processes. By positioning AI agents as the core of business processes rather than supplements to them, Lua could unlock significant productivity gains.
The funding will help expand the platform as more small teams across the continent look to scale their operations through autonomous AI systems. This could reshape how we think about enterprise AI applications in emerging markets, where the constraints and opportunities differ significantly from developed economies.