TELECOMMUNICATIONS

The network already runs on prediction. The question is whether the operator can defend the call.

Across East and West Africa the models are already in the network — predicting outages, scoring fraud, ranking the next offer. What is missing is the record that lets an engineer, a fraud analyst, or a regulatory affairs lead stand behind the output when it is questioned.

SECTION 01 — WHERE THE SECTOR STANDS IN 2026

Where the sector stands.

African operators are past proof-of-concept on network AI. The pressure that makes this urgent is physical and financial — thousands of fibre cuts a year, SIM-swap fraud cases that reach the courts — while the regulatory perimeter around subscriber data has hardened under POPIA, NDPA, and ODPC guidance.

SECTION 02 — WHERE THE THREE PRODUCTS FIT

Where the three products fit.

AKKI

Akki sits between the operator's systems of record and AI tooling — governing what data enters a model, what gets reasoned over, and what gets logged.

SOLVA

Solva structures every analytical output through its reasoning stages, producing an audit trail, and refuses when the evidence does not support the conclusion.

SYNISENSE

SyniSense anonymises sensitive subscriber data at the perimeter before external models reason over it, and re-identifies inside the perimeter on the response.

SECTION 03 — WHO READS THIS HUB

Heads of Network Operations, fraud and revenue assurance leads, data protection officers, regulatory affairs directors, and market conduct leads at tier-one operators.

SECTION 05 — START

Start a conversation.

Sector deployments begin with a direct conversation about the specific decisions the institution needs to defend.