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Africa · South Africa

Cell C tests AI network fix with Odine

By Africa’s Point5 Mar 2026, 11:171 min read
IN SHORT: Cell C and Odine have signed a proof-of-concept agreement to test AI-driven network quality enhancement in South Africa, aligned with Cell C’s capex-light strategy to improve connectivity without heavy infrastructure spend.

South Africa’s Cell C has signed a proof-of-concept agreement with global technology firm Odine to test AI-driven network quality enhancement, as the operator pursues a capex-light strategy to improve connectivity without heavy infrastructure spend.

  • The PoC will deploy an AI solution developed by OdineLabs, Odine’s wholly owned R&D subsidiary, to improve connection continuity and reduce service interruptions across Cell C’s mobile network.
  • The initiative sits directly within Cell C’s stated capital strategy: deliver improved service quality by leveraging partner technology rather than large-scale infrastructure investment.
  • Odine brings a model that combines consultancy, system integration, and AI product development, positioning it as an end-to-end delivery partner rather than a point solution vendor.
  • If the PoC validates the approach, it points toward a broader rollout of AI orchestration and automation across Cell C’s network.

Cell C has spent several years restructuring its balance sheet and shifting toward a leaner operating model after a long period of financial strain. The partnership with Odine reflects that strategy in practice: rather than committing to network infrastructure spending, the operator is testing whether AI-driven optimisation can close the performance gap with better-capitalised rivals. Odine, for its part, is deepening its Africa footprint through the deal. Schalk Visser, Cell C’s CTO, framed the agreement around customer continuity, specifically uninterrupted access for users working, learning, and communicating on the network.

The Bigger Picture: Cell C’s capex-light approach is a rational response to its financial position, but it carries execution risk. AI-driven network optimisation can improve quality on existing infrastructure, and the gains from automation and predictive maintenance are real. However, the gap between a proof of concept and a network-wide performance uplift is significant. The test is whether Odine’s solution can deliver improvements that are material enough to shift customer experience metrics in a market where MTN and Vodacom continue to invest heavily in physical infrastructure. If the PoC succeeds, it offers a replicable model for constrained operators across the continent.

Source: TechAfrica News

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