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Dev tools · September 14, 2016

API for free deep learning models

KeplrAI gives every critical asset in a plant its own maintenance intelligence. Assets predict failures, trigger parts procurement, and coordinate repairs — across downstream and midstream.

API for free deep learning models launched on September 14, 2016 with 26 votes, #1,580 of 3,743 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 10 years on.

In plain words

KeplrAI provides maintenance intelligence for critical assets in hydrocarbon processing plants. Each asset learns to predict its own failures by analyzing streaming pressure, temperature, and vibration data, then automatically triggers parts procurement and coordinates repairs. The system integrates read-only with existing plant infrastructure like DCS, SCADA, and historians without requiring replacement. Predictions improve with each repair as field data feeds back into the model.

written from the facts on this page · September 2026

From the sources

Critical assets stream pressure, temperature, and vibration into historians no one reads. Maintenance runs on calendars and tribal knowledge. Every asset learns its own failure signatures and predicts the next breakdown. An AI agent then coordinates the response: parts, work orders, dispatch. Every repair makes it sharper. One continuous loop per asset. Field data flows back into the model. Every repair makes the next prediction sharper. Plug into the plant's existing DCS, SCADA, PLCs, and historians (PI, Aspen IP.21, Honeywell PHD). Read-only integration. No rip-and-replace. Plug into the plant's existing DCS, SCADA, PLCs, and historians (PI, Aspen IP.21, Honeywell PHD). Read-only…from openapi.keplr.io

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