Design, simulate, deploy, and continuously optimize — with predictive AI woven through every step, from data lake to plant floor.
Synagent is our proprietary large language model, trained for infrastructure operations. It ingests live and historical project data, identifies patterns and inefficiencies, and flags risks before they occur — accelerating simulation to de-risk high-value processes across the entire development lifecycle.
Fig. 02 — Synagent: chaotic inputs, ordered predictions
Live telemetry, historical records, and legacy system data stream into the unified data lake.
The proprietary LLM detects patterns, inefficiencies, and emerging risks in real time.
Scenarios run against a faithful simulation — validating every change before production.
Each stakeholder's AI partner delivers alerts and optimization actions — human in the loop.
Traditional industrial IoT suites live in the cloud and stop at dashboards. SynaFox goes to the edge, into the loop, and onto the plant floor.
Comparison vs. representative cloud IIoT platforms (e.g., MindSphere-class)
Next step
See Synagent and the digital twin engine on your own use case.
