Industrial maintenance teams know more than they can document. Lore helps close that gap before the knowledge walks out the door.
Every maintenance operation has a handful of people who know how everything really works. They know which bearing fails first on the RAS pump. They know the trick to get the UV system back online after a storm. They know the workaround for the VFD that the manual doesn't cover.
When those people retire, transfer, or are simply out sick on the wrong day, that knowledge disappears. The next technician spends hours troubleshooting something that used to take twenty minutes. Parts get ordered wrong. Mistakes get repeated.
The data that reveals these risks already exists in CMMS work order history — recurring failures on the same asset, resolution times that spike when the expert is absent, corrective work with no linked procedure. But nobody has time to mine thousands of work orders looking for patterns.
Most knowledge management tools start by asking people to write things down. That's the hardest step. Lore starts with detection — showing you where knowledge is missing, concentrated, or at risk, using data you already have. Detection creates urgency. Urgency makes capture feel worthwhile. And governance makes sure what gets captured actually reaches the people who need it.
Lore is built for maintenance and reliability leaders at facilities where operational knowledge is critical:
If you run a CMMS, have technicians with decades of experience, and worry about what happens when they leave — Lore is for you.
Lore is currently in early validation. We're working directly with maintenance teams to test the detection engine, refine the capture workflow, and prove that governed knowledge placement actually reduces operational risk.
If you'd like to see what Lore finds in your work order data, we'd love to hear from you.