From metals and mining to energy and consumer goods, B3 partners with plants that depend on their data to run efficiently, and turns that data into faster operational decisions.
Continuous process, discrete assembly, and batch production each lose output in different ways. The platform is the same across all of them; the sources, KPIs, and failure modes it models are specific to yours.
Melt shop through rolling mill, with furnace, caster, and mill data in one model so yield and energy losses are traced to the step that caused them.
Crushers, conveyors, and mills monitored as one circuit, so the bottleneck is visible before throughput drops at the plant.
Sawmills and panel plants with optimizer, scanner, and grade data joined to machine state, so recovery losses show up within the shift.
Digester to reel, with breaks, grade changes, and quality drift linked to the process conditions that preceded them.
Rotating equipment and process units watched against baseline, with deviations flagged early enough to plan the intervention.
Body, paint, and final assembly lines where a single station stop holds the whole sequence. Downtime attributed by station, shift, and cause.
High-speed converting and filling lines where micro-stops add up. Every stop is captured and coded automatically.
Multi-SKU lines with frequent changeovers. OEE compared across lines, products, and sites from one definition.
Anything specific to your plant is scoped in the walkthrough rather than asserted here.
Request a walkthrough →No. Orion, Neo, and B3rry are the same platform everywhere. What changes per site is the set of connected sources, the KPI definitions, and the failure modes being modeled.
Usually, yes. Orion reads from PLCs, historians, and databases over standard industrial protocols. Gaps in legacy equipment are identified during scoping.
Yes. Downtime, OEE, and throughput are modeled to match how your process actually runs, rather than forcing one production type onto another.
Yes. Most deployments start with a single line or problem and expand once the first result is proven.
Not necessarily. If your plant has machines, a historian, or a control system, the platform can model it. Bring the operational problem to a walkthrough.
Talk to an engineer who has deployed in your industry. We scope one operational problem against your systems, not a generic product tour.