We are deploying agents and world models across high-value networks, providing use cases including network slicing, energy optimisation, rApp conflict resolution and coverage optimisation, all within each network’s operational design envelope.
Working with leading network equipment providers and mobile operators.
Crucible simulates each slice’s traffic against its SLA limits on throughput and latency. Breaches show up in the model first, and fixes are tested there before they are applied to the network.
Cells and carriers are put to sleep when traffic is low and woken before quality degrades. Each policy is tested in the world model against your limits on drop rate, call setup success and latency before it is deployed. Increase energy saving by up to 20%, with the CO2 it avoids estimated for your grid.
Different controllers and rApps act on the same cells with opposing goals. Crucible simulates every combination of their settings and plots the trade-off, so you can pick a policy and check it against your limits before either rApp acts.
Tune antenna tilt and sector power across clusters inside 3D models of your network, built from real topologies. Agent actions are verified against simulated coverage and capacity objectives and constraints before they are deployed.
Engineering documents, site records, SLAs and other unstructured documents become an ontology of your network. This allows us to move from use case optimisation to global business optimisation, linking specific world model actions to global business KPI impact.
Move traffic between cells and bands so that no cell is congested while a neighbour sits idle.
Ask the agent what changed, replay it in the model, and test a fix before applying it.
We analyse a time-bound, anonymised set of data from your system to show the gains that Crucible can deliver.
We deploy a model on a small-scale system and measure performance.
We extend the deployment across your whole system.
Start with an assessment that quantifies the improvements Crucible can deliver.