Forge connects your AI agents to solar inverters, wind turbines, battery storage, and grid assets. A cross-vendor canonical data model gives your energy-optimization agents one clean data layer, so they forecast degradation and downtime across every brand and act under supervision.
Factory floorsΒ·Data centersΒ·EnergyΒ·Cold chainΒ·One kernel
"Inverter fault in 44 hours." TimesFM forecasts degradation and downtime with confidence windows, not threshold alarms after the fact.
Forge drafts the work order in your CMMS or pings the O&M team in Slack. You approve; it executes. Every action logged.
Every reading and prediction gets a tamper-evident record. When the performance guarantee or warranty claim comes, you have the record.
1,027-field canonical schema, 366 resolvable from vendor tags today. 2,461 mappings. 12 protocols.
The FoundryNet Forge kernel normalizes telemetry from Fanuc, Siemens, Haas, ABB, KUKA, and 13 more into one universal schema. Then TimesFM predicts failures before they happen.
32 MCP tools. Batch fleet prediction. Anomaly detection. Remaining useful life estimation. Complete machine intelligence in one API call.
Tamper-evident audit trail on every reading, independently verifiable.
Machine records you can prove are increasingly required for warranty claims, lease end-of-term, and usage-based financing.
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