Cassava Technologies has launched a new artificial intelligence-powered network management system designed to automate and optimise mobile network performance across Africa, as operators grapple with surging data demand and increasingly complex infrastructure.
The system, branded Cassava Autonomous Network, independently monitors and optimises Radio Access Networks (RAN), which is the critical layer of telecommunications infrastructure that connects mobile devices to cell towers and governs how signals travel between them.
In many African markets, RAN management still depends heavily on engineers manually intervening when congestion or outages occur, a process that can be both time-consuming and costly.
Cassava says its new platform replaces these manual adjustments with automated optimisation, ushering in what it describes as a step towards intelligent, self-healing networks.
“With this solution, we are delivering on a significant step toward intelligent, self-healing, autonomous networks that drive coverage, quality, profitability, and improve customer experience across the continent,” said Ahmed El Beheiry, Group COO and Group Chief Technology & AI Officer at Cassava Technologies.
What You Need to Know
The launch comes at a pivotal moment for Africa’s digital economy. Internet usage across the continent continues to expand rapidly, with more than 330 million people online in 2024, a figure projected to more than double by the end of the decade as smartphone penetration deepens and affordable data services spread.
While 4G remains the dominant mobile technology in most African markets, 5G roll-outs are accelerating. By the end of 2025, 53 operators across 29 African countries are expected to be offering commercial 5G services.
For telecom operators, however, expansion brings complexity. Networks must simultaneously manage legacy 2G and 3G infrastructure, established 4G systems, and emerging 5G deployments. The multi-generational environment increases operational strain, particularly when outages or congestion occur.
Network downtime and delays in addressing it can directly affect revenue, customer churn, and brand perception. As user expectations rise around speed, reliability and low latency, operators are under pressure to modernise how their networks are managed.
Cassava’s pitch is straightforward: reduce operational expenditure while improving network performance through automation.
Powered by NVIDIA’s AI Infrastructure
The autonomous system is built on AI infrastructure from NVIDIA, the U.S.-based semiconductor giant that invested an undisclosed amount in Cassava Technologies in October 2025.
Cassava Autonomous Network leverages NVIDIA NIM microservices, enabling the deployment of advanced AI models on NVIDIA-accelerated infrastructure. It also integrates NVIDIA’s Network Configuration Blueprint, an open-source framework that allows telecom operators to train AI agents using their own proprietary network data.
The product is additionally deployed on the Cassava AI Multi-Model Exchange (CAIMEx), an African AI marketplace launched by Cassava in November 2025. Through CAIMEx, mobile network operators gain direct access to AI tools and models tailored to enterprise and infrastructure use cases.
Cassava claims the system can increase operational efficiency by up to 75 per cent and reduce repair times for minor network issues from approximately four days to around 35 minutes, a potentially transformative shift in markets where response times are often prolonged by logistical and staffing constraints.
Vendor-Agnostic Approach in a Competitive Market
A key element of Cassava’s strategy is interoperability. The company describes the platform as vendor-agnostic, capable of functioning across equipment from multiple telecom providers and supporting legacy, hybrid and cloud-native deployments.
This is significant in a market traditionally dominated by large equipment manufacturers such as Nokia and Huawei, both of which already offer AI-driven optimisation tools tied to their proprietary RAN infrastructure.
Cassava argues its differentiation lies in building an African, open-architecture system that works across vendors rather than locking operators into a single equipment ecosystem.
“In today’s multi-vendor landscape, flexibility is the ultimate currency,” El Beheiry said. “Cassava Autonomous Networks provides a truly open architecture that respects existing RAN investments while introducing advanced agentic AI capabilities.”
With NVIDIA’s backing and a growing AI ecosystem anchored by CAIMEx, Cassava is positioning itself at the intersection of connectivity and artificial intelligence. The company appears to be wagering that the next growth phase of Africa’s telecom sector will not be defined solely by expanding coverage, but by making networks intelligent enough to manage themselves.
Talking Points
It is a strategic and timely move that Cassava Technologies has launched an AI-powered autonomous network system as African telecom operators confront rising data demand and increasingly complex multi-generational networks. Automating Radio Access Network optimisation directly addresses one of the sector’s most persistent operational challenges, manual intervention during congestion and outages.
The promise of reducing minor repair times from days to roughly 35 minutes, alongside claims of up to 75 per cent efficiency gains, signals a potentially transformative shift in how network performance is managed. If delivered at scale, this could materially improve quality of service while lowering operational expenditure for mobile network operators.
The backing of NVIDIA strengthens the credibility of the initiative. Access to advanced AI infrastructure and deployment tools positions Cassava to compete in a space historically dominated by traditional equipment providers.
Its vendor-agnostic, open-architecture model is particularly compelling in markets where operators rely on mixed infrastructure from companies such as Nokia and Huawei. Flexibility in a multi-vendor environment is not just a technical advantage; it is a commercial necessity.
At Techparley, we see this as part of a broader shift from simply expanding connectivity to making networks intelligent enough to manage themselves. As 5G adoption grows and customer expectations rise, autonomous systems may soon become foundational rather than optional.
However, real impact will depend on execution. Deployment across diverse African markets, each with unique infrastructure, power and skills constraints will determine whether Cassava’s autonomous vision translates into measurable, continent-wide transformation.
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