Solomon Kembo - Disruptive IoT

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Solomon Kembo

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ARM's 2026 Predictions and the Economy of Things

The silicon giant is "catching up" to what we've been exploring in Zimbabwe. ARM just released their 2026 tech predictions. For those unfamiliar, ARM doesn't make chips, they design the architecture that powers most of the world's IoT devices, smartphones, and increasingly,

EdgeChain Insights #7: When the Fields Speak in Proof, Not Fear

Meet Nyakupfuya, carrying the burden of millions who must surrender their data to survive. EdgeChain and Midnight's zero-knowledge proofs offer a different path: let the fields speak, not the farmer. Top 16 at the Midnight Summit Hackathon.

EdgeChain Insights #6: The Helicopter That Zimbabwe Laughed At

Every innovator has their helicopter, the world just sees it too early. From a floppy-disk router to Daniel Chingoma's ridiculed aircraft, the Prototype Reflex teaches us that beautiful products have their birth as ugly prototypes.

EdgeChain Insights #5: From Ubuntu Freedom to Blockchain Privacy

From handing out Ubuntu CDs in Harare to building privacy-preserving AI networks—how open source, edge computing, and Zero-Knowledge proofs create the moral architecture of EdgeChain.

EdgeChain Insights #4: From Mbare's Mesh Network to Farmer-Owned Infrastructure

In 2019, we proved communities will build infrastructure they own. But the tokens lived inside our app, ownership wasn't real. Five years later, blockchain has matured. Now we can build what we envisioned.

EdgeChain Insights #3: From Mbare Makers to Manicaland Farmers

From a prize-winning IoT prototype by Mbare teenagers to a farmer-governed agricultural intelligence system—how EdgeChain's P2P incentives transform daily routines into collective ownership.

EdgeChain Insights #2: Data Culture Meets Data Ownership

Being "data-driven" is not enough. EdgeChain builds both DATA CULTURE (evidence-based decisions) and DATA OWNERSHIP (farmers control their data). That balance is what makes it unique.

EdgeChain Insights #1: Facing the Complexity Gap in Federated Learning

Federated learning is technically demanding. Instead of pretending it will be farmer-ready, EdgeChain treats complexity as a risk to be managed, through simplification, piloting, and adapting with local context.