LabLabee was an AIOps award finalist at FutureNet World 2026 in London and demoed a new AIOps platform for autonomous testing and troubleshooting.
LabLabee, listed on Liners as LabLabee, presented its AIOps platform at FutureNet World 2026 in London and was named a finalist for the AIOps award.
AIOps means “AI for IT operations.” In simple terms, it is software that uses machine learning to spot problems, predict incidents, and help teams fix systems faster. In telecoms, that can include detecting network faults, finding the likely root cause, and suggesting the next best action.
At its stand, LabLabee showed live demos of a platform it says unifies three workflows. First is autonomous enablement, which is guided automation to help teams roll out and configure network capabilities. Second is autonomous testing, which checks network behaviour automatically instead of relying only on manual test scripts. Third is autonomous troubleshooting, which helps engineers diagnose faults faster using data signals from the network.
The company also said the event focus was shifting toward platform-driven intelligence, where AI supports engineers rather than replacing them. LabLabee positioned its approach as an “open platform” that turns internal data and team knowledge into faster testing and more confident troubleshooting.
Telecom operators across Africa and globally are under pressure to improve reliability while managing more complex networks, including 4G and 5G, fibre, and cloud-based network functions. Tools in the AIOps category can reduce downtime by shortening the time it takes to detect and resolve incidents.
If LabLabee’s unified platform approach works in production, it could appeal to operators and vendors that want fewer point tools across testing, operations, and fault management. The finalist nod also signals continued interest from large telcos in practical AI automation, especially for autonomous networks, meaning networks that can self-monitor and self-correct within agreed guardrails.
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