B3rry orchestrates analytics-focused agents that keep information live and useful. They align timestamps across sources, smooth noisy signals, and apply context like product, rate and shift. Alerts reach the right roles with recent history and a short checklist. Teams see what changed, why it matters, and what to do next.
We integrate our platform with your data so KPIs, trends and diagnostics draw from one consistent foundation. Operators get next actions, engineers get root-cause tools, and leaders see targets versus actuals in real time.
Traditional systems struggle to keep pace with live data. These are common blockers across plants and refineries and how we think about removing them.
When data arrives in batches, decisions lag. We stream PLCs, historians, CMMS, MES and ERP events in real time, align timestamps, and surface changes within seconds so teams can act while it matters.
More tags and signals can mean more noise. We prioritise context like state, rate, product and shift, and apply filtering and smoothing so dashboards highlight change, not chatter.
As lines expand and tags grow, poorly tuned systems bog down. We standardise tags, cache hot paths, and scale collectors so performance holds as your footprint grows.
Collect PLC tags, historian points, CMMS events, MES states and ERP orders as they happen. We align timestamps and keys so joins are fast and dashboards stay in sync.
Build operator, engineering and manager views from the same source of truth. Filter by line, product or shift, and save presets so teams see exactly what they need.
Spot drift early. Correlate conditions with past downtime, quality and maintenance to forecast risk and recommend the next best check or task.
Reduce false positives with context-aware rules. Send alerts to the right role with recent history and a short checklist so action is clear.