Reduce downtime. Prevent defects. Deliver on-time.

Manufacturing intelligence uses AI to connect the data a plant already generates — maintenance records, machine and sensor data, work orders, production schedules, supplier commitments, purchase orders, inventory, and quality records — into one unified picture. Instead of each system holding a fragment of the truth, Overstand reasons across all of them to predict downtime, keep schedules realistic, catch material shortages early, and trace defects to their root cause.

Most manufacturers already have what’s needed: maintenance and work order history from a CMMS, machine and production data from the MES or PLCs, schedules and purchase orders from the ERP, supplier and inventory records, and quality/inspection data. Overstand ingests this from the systems you already run — there’s no requirement to rip and replace an ERP, MES, or CMMS.

Overstand combines maintenance records, failure histories, parts replacement history, machine data, and production data to identify equipment showing patterns that preceded past failures — so maintenance can intervene before a breakdown stops the line, instead of scrambling to diagnose it after.

Yes. When a machine goes down, material is late, or a rush order comes in, Overstand understands the real production constraints — machine availability, material on hand, crew, and existing commitments — and helps planners figure out what should run next, instead of manually reconstructing the schedule across the ERP, spreadsheets, and phone calls.

Overstand connects supplier commitments, purchase orders, inventory levels, bills of materials, production plans, and customer orders, so a slipping shipment is traced through to the specific jobs and orders it will affect — surfacing the risk while there’s still time to expedite or replan, rather than after the line is already stopped.

Overstand connects production and quality data across machine, supplier lot, material, operator, shift, process parameters, product configuration, and environmental conditions — data that typically lives in separate systems. It learns which combinations preceded past defects so teams can flag at-risk runs and intervene before more scrap is produced, while also tracing rework back to the conditions most likely to have caused it.

No. Overstand doesn’t replace the systems of record you already run — it connects them. Your ERP, MES, CMMS, and quality systems stay in place; Overstand reasons across the data they hold so answers that currently require pulling together multiple systems and tribal knowledge are available directly.

All ingested data and work product is protected with military-grade encryption in transit and at rest, access is role-based, and Overstand never trains any model on customer data. See our data security page for the full picture.