Sensor streams, MES/OEE systems, and historian data collected constantly on the plant floor — but rarely connected to enterprise AI or the teams making planning decisions upstream — unified on a governed foundation.
Sensor, historian, and MES/OEE data streamed and processed at the edge — the same real-time streaming architecture already proven on energy's drilling and SCADA data.
Plant data exposed via MCP servers to any AI-enabled assistant — grounding copilots and agents in governed plant floor data, not a curated demo set.
One governed namespace across plant operations and enterprise planning — so a plant floor signal is visible to the people making upstream decisions.
PIEScale's real-time streaming and governance architecture is proven on energy's most demanding operational data — drilling sensors, SCADA, and reservoir monitoring at scale.
Manufacturing's sensor streams, MES/OEE systems, and historian data present the same fundamental pattern, which is why the same platform extends cleanly to the plant floor.
PIEScale's real-time streaming is proven in energy. The manufacturing extension runs on the identical architecture.
Fully compatible with OSDU while supporting custom schemas OSDU alone doesn't cover.
MCP servers work with any MCP-enabled assistant — no lock-in to a single AI vendor.
The same edge and streaming architecture already handling drilling and SCADA data at scale.
30–35% lower total cost of ownership than a traditional split-vendor OSDU deployment.
Energy is our track record. Manufacturing is where we're extending it — we won't overclaim otherwise.
Upstream, midstream, downstream, and renewables all served by the same governed foundation.
A 30-minute discovery call, grounded in your actual sensor, MES, and historian data.