Five strategic pillars that address real operational constraints — from the shop floor to the executive dashboard. Each reinforces the others.
Industrial IoT & Machine Connectivity (IIoT)
Shop floor visibility starts with connected machines. Real-time data collection from CNC, PLC, and legacy
equipment via MQTT, OPC UA, and retrofit sensors. Centralized dashboards for OEE, cycle times, downtime tracking,
and predictive maintenance alerts. Works with your existing equipment — no rip-and-replace required.
Tech: MQTT, OPC UA, Node-RED, IoT sensors/gateways, Power BI
AI Integration & RAG
Turn your accumulated operational data — work orders, quality records, maintenance logs, engineering specs —
into searchable, actionable intelligence. Custom RAG systems connect LLMs to your proprietary data so teams
get precise, source-cited answers instead of searching through file shares and tribal knowledge.
Tech: LLM APIs, vector databases, Python, LangChain/LlamaIndex
Intelligent Classification & Document Processing
LLM-powered systems that automatically sort, route, and extract data from incoming documents: RFQs,
invoices, shipping notices, quality certs, customer emails. Context-aware classification that understands
manufacturing terminology and your business processes — not simple keyword matching.
Tech: Fine-tuned LLMs, NLP pipelines, Python, Power Automate
End-to-End Automation Pipelines
Eliminate manual handoffs between ERP/MRP, accounting (QuickBooks), CRM, shop floor systems, and administrative
tools. Purpose-built workflows that sync data across your entire stack — order-to-production,
invoice-to-payment, quote-to-schedule. Every integration designed for reliability and maintainability.
Tech: Power Automate, Python, REST APIs, ERP/MRP connectors, Node-RED
AI-Powered Decision Support & Analytics
Move from backward-looking reports to forward-looking intelligence. Real-time dashboards, capacity planning
models, demand forecasting, anomaly detection, and KPI monitoring with automated alerts — built for
plant managers and executives who need to act, not just observe.
Tech: Power BI, Python, ML models, time-series analysis
Based in Quebec City, Canada. Serving manufacturers across North America.