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The reasoning layer that knows your plant.
Built on an ontology of your assets, reason codes, and standards. Ask it anything about the floor — the answer comes back in seconds, with the source record attached.
Fluency is commoditized. Operational reasoning is not. It requires your assets, reason codes, standards, and the cost of a minute on each line — connected and analyzed together, not guessed at. Without that, output is a guess with good grammar.
Historian, MES, CMMS, ERP. No operator joins them by hand at 03:00.
An engineer who can't trace the logic won't sign off on the answer.
Pareto and shift comparisons are redone weekly because the last one was a spreadsheet.
The operator who hears a bearing fail by sound is your only record of it — on one shift.
B3rry queries Orion's integrated data and Neo's live KPIs, then shows its work — every conclusion traces back to a source record an engineer can pull and check.
Line 3 recorded 41m 20s unplanned downtime across three events. Dominant contributor: filler changeover at 02:14, 18 minutes over standard.
This changeover has exceeded standard on 6 of the last 9 runs — 94 minutes per week at current rate. Open a CI item and notify the Shift A lead?
Integration, ontology, and the query surface ship on day one — the reasoning layer, always on. Agents are specialists you put on staff: activate what a plant needs, leave the rest on the bench. B3rry reviews every finding before it reaches your team.
Orion unifies historian, MES, CMMS, and ERP into one queryable record.
Topology, reason codes, shift calendar, standards, cost basis — modeled explicitly. This is the structure Neo's real-time visibility runs on, and what makes a result contestable, not just plausible.
Specialists on call for B3rry — classification, condition monitoring, analytics, inspection, conformance. Staffed per plant, stood down when the job's done.
One interface, control room to tablet. Natural-language in, cited output, named next action.
A night-shift operator, an engineer mid-investigation, and a VP reviewing four sites get the same evidence and the same conclusion — at the depth their role needs.
B3rry deploys as a named member of the operating team — a defined mandate, measurable output, and a full memory of what happened last time this line stopped.
Send the query your team can't resolve consistently. We'll run it against a model matched to your environment.