Keep equipment detail in reach
A brief change can disappear inside an aggregate. Local access creates an opportunity to inspect equipment-level signals, provided their quality and sampling support the question.
RAIN / Resources
Why RAIN brings capture, inference and retraining together at the facility, and what local operation still needs to prove.
Architecture explainer
01 / THE IDEA
A facility produces signals continuously. RAIN’s thesis is to put the model near those signals: capture data locally, run inference on-site and evaluate updates using local operating history. The battery-storage simulator demonstrates the mechanics of that loop; a first pilot must test its practical value.
A brief change can disappear inside an aggregate. Local access creates an opportunity to inspect equipment-level signals, provided their quality and sampling support the question.
A shared model meets different equipment, environments and operating patterns. Local retraining can propose an adaptation, but evaluation must still decide whether it is better.
The local loop is designed to run without runtime network egress. Production uplink transport remains unfinished; future data flows need an explicit purpose and review.
02 / IN PRACTICE
Define the scope, preserve the boundary, and make the outcome something a person can inspect.
Read the agreed telemetry and preserve the context needed to interpret it: equipment identity, timing, units and quality.
Run the current model, train a candidate and evaluate both on held-out data. Keep the incumbent when the candidate fails the gate.
Present an advisory with model context and recorded history. Operators decide whether to investigate or act through their existing processes.
03 / A FEW DETAILS
No. Location is one boundary. Access, retention, maintenance, software updates and the site’s operational practices still need to be designed and verified.
RAIN has not been field-deployed. A scoped pilot is the next milestone, including target hardware, equipment access and evaluation of real signal quality.
BUILD WITH RAIN
RAIN is preparing for its first field pilot. Start by defining the environment, the data boundary, and what success should look like.