Crucible

Verification-first deployment of AI agents: every action stress-tested in a world model before it touches real infrastructure.

agents, forged

Request an assessment See it run in the world model

how it works

Model the world

Crucible builds a calibrated world model of your system: an AI-native simulation faithful enough to stand in for reality.

Stress-test the agents

Optimization agents are trained and proven against the model, never by experimenting on live infrastructure.

Gate every action

Actions release only after verification against your guardrails, and roll back automatically if reality deviates from prediction.

in operation

24.6%energy saved over the simulated day (118.8 to 89.53 kWh)
0.015%call drop rate, unchanged from baseline
+0.7 msadded latency (7.0 to 7.7 ms)
6 kW 0 00:00 24:00 always-on baseline with Crucible policy

one simulated day on a 21-cell cluster in the Crucible world model; cluster power draw, hourly means

00:30carrier sleep engaged, first of the night (cell at 2% load) verified: within QoS guardrailsreleased
05:15carriers woken ahead of the morning ramp demand forecast risingreleased
—deeper sleep policy, 31% saving latency 7 to 22 ms in the world modelrejected, never deployed

logged from the same simulated day; seed 42, 40 Mbps/cell demand

flagship application

E-RAN applies Crucible to radio access networks, which consume most of a telecom operator's energy budget. It orchestrates the energy-saving features already in your vendors' equipment, with zero hardware changes while safeguarding quality of service.

10–15%energy OpEx reduction
$450Ksaved per year per 1,000 sites
15,000tonnes of CO₂ avoided per 10,000 sites

Nokia · Ericsson · Huawei · Open RAN

from first look to full network

Assessmentsavings quantified in weeks, from exported data → Pilotrecommendation mode on selected sites → Scaleclosed loop, on your terms

request an assessment

Tell us about your network and we'll come back with a site-specific savings projection. No commitment.