B2C Platform Strategy
Provide the rails — billing, distribution, inference — and let thousands of developers build the AI services your consumers will use. You take xx–xx% of every transaction. This is the M-Pesa playbook, applied to AI.
The Lesson
Every time a telco tried to build consumer products in-house, it lost to third parties who moved faster, iterated more, and understood users better. The track record speaks for itself.
The Exception
Because Safaricom did not try to build every financial product. It built the platform — the rails, the agent network, the billing layer — and let 100,000+ developers and merchants build on top via Daraja API. The result: 60,000+ integrations, $500B+ in annual transaction volume, and 44% of service revenue from VAS.
The playbook is clear: build the infrastructure, provide the distribution, take the platform fee. Now apply it to AI.
The Platform Model
Your telecom provides three things no startup can replicate: carrier billing (including mobile money), distribution to 100M+ SIM cards, and local AI inference. Small companies plug into your platform, build AI mini-apps, and you take xx-xx% of every transaction.
The Choice
Network Effects
Building your own apps gives you linear growth. A platform gives you compounding network effects — the same loop that made M-Pesa, the App Store, and Shopify dominant.
Platform Economics
Every AI transaction on the platform generates revenue for you — without building a single product.
Yango Tech builds the AI distribution platform — developer portal, billing APIs, inference layer, mini-app marketplace — so your telecom becomes the AI gateway for your entire market.