B3 Systems is an Industrial AI company based in Toronto. We help manufacturers connect operations, uncover opportunities, and take action through a single platform that brings together machines, people, and business systems.
Most plants already collect the data. It sits in PLCs, historians, MES, ERP, and spreadsheets that were never built to agree. We connect them into one governed model, own the onboarding, and stay on as the team that keeps it running.
We scope on site with operators, controls engineers, IT, and the business, then build around how the plant actually runs.
Integrations, data modeling, and rollout are our job. Results show up in weeks, not after a multi-year program.
Software, support, and continuous improvement from one team, so you are not coordinating a stack of vendors.
Every deployment is tied to a measurable operational outcome. If it isn't used on the floor, it isn't finished.
B3 stands for Business Integration, Business Information, and Business Intelligence. It is the order every project runs in, and it is how the platform is built.
PLCs, historians, MES, ERP, and spreadsheets connected into one platform. Fewer silos, cleaner hand-offs, and one place to trace an issue across machines, lines, and plants.
Tags and models standardised so everyone reads the same story. Operators, engineers, and leaders get KPIs, investigations, and alerts built around how the factory runs.
AI agents and analytics on top of trusted data, to spot patterns, surface the next action, and support decisions in real time. Intelligence on a solid foundation, not the other way around.
After years of watching plants struggle with historians, spreadsheets, and one-off reports that didn't match what people saw on the line, Chris started B3 to close that gap.
The work was iterative by design: stand with the people running the process, wire up a small improvement, watch how it gets used, and refine it again.
Many early projects were delivered by a core group of engineers and University of Toronto alumni who would rather be on site than in a boardroom.
Orion, Neo, and B3rry are built the way the first projects were: on the factory floor, with the team growing across disciplines and industries.
PLC, MES, and CMMS data unified to surface top loss drivers and speed up corrective action.
Vision systems and saw parameters connected to trace quality issues back to blade wear and settings.
Historian tags standardised across lines for consistent KPIs, exception reporting, and agent automation.
Tags and grades normalised to track sheet breaks and energy KPIs, with guided actions to close the loop.
Process control, LIMS, and energy data integrated to pinpoint recovery losses and energy-intensity drivers.
SKU, line, and crew data correlated to reduce waste, shorten changeovers, and lift first-pass quality.
Process control, maintenance, and energy data unified to cut flaring, reduce unplanned downtime, and track unit health.
PLCs, vision systems, and ERP demand connected to balance lines, reduce scrap, and speed up changeovers.
A line that keeps stopping, a KPI that arrives too late, systems that don't reconcile. We'll scope it with the engineers who would deploy it.