We write models that read invoices, flag supply-chain anomalies, and forecast demand for mid-size manufacturers and distributors across Quebec. You keep your existing tools; we plug in beside them.
Run a free diagnostic on your data
Most AI pitches start with buzzwords. Ours starts with the headache you already have.
Your team re-keys purchase orders, bills of lading, and supplier invoices into an ERP that could accept structured data if someone built the bridge. We build that bridge with an OCR pipeline tuned to your actual document formats, not a generic template.
We train a model on 200 of your real documents. After two weeks of iteration it reads new documents at 96% field-level accuracy. A human reviewer handles only the flagged 4%, cutting data-entry labour by roughly 85%.
Spreadsheet-based forecasting misses seasonal micro-patterns and ignores external signals like raw-material price shifts. Overstock ties up cash; understock loses sales.
We combine your sales history, supplier lead times, and publicly available commodity indices into a model that updates weekly. Clients typically see a 30% reduction in safety-stock value within six months.
Every project ships as a containerised service that runs on your infrastructure or ours. No vendor lock-in.
OCR plus natural-language extraction for invoices, packing slips, contracts, and inspection reports. Outputs land directly in your ERP or database via API.
Time-series models trained on your transaction data, enriched with external signals. Weekly retraining keeps drift under control without manual intervention.
Real-time monitoring for manufacturing sensor streams, financial transactions, or logistics data. Alerts fire within seconds, not hours, so your ops team can act before damage compounds.
A retrieval-augmented chatbot trained on your SOPs, product specs, and support tickets. Employees ask questions in plain language and get sourced answers instead of digging through SharePoint.
Before any model can train, your data needs to be clean and connected. We design ETL pipelines that pull from ERPs, IoT gateways, and third-party APIs into a single, versioned data lake.
Accuracy decays when the world changes. We set up drift-detection dashboards and automated retraining triggers so your models stay reliable quarter after quarter.
We follow a fixed sequence because surprises in AI projects usually mean budget overruns.
We connect to your systems (read-only), profile the data quality, and identify the two or three use cases with the highest payoff. You get a written report with expected accuracy ranges and cost estimates.
A working model runs against a held-out test set. We share a live dashboard where your team can inspect predictions, flag errors, and see confusion matrices. No black boxes.
The model becomes an API endpoint. We write the connectors to your ERP, warehouse management system, or BI tool. Parallel runs against your current process validate that outputs match or beat human performance.
Load testing, failover configuration, logging, and alerting. We document every endpoint, every environment variable, and every retraining trigger.
Your team gets a half-day workshop on interpreting model outputs, adjusting thresholds, and triggering retraining. We stay on a support retainer for 90 days after go-live at no extra charge.
Names anonymised per client agreements, but the numbers are audited.
Replaced manual invoice entry for 14 supplier formats. The extraction pipeline processes 1,200 invoices per day and escalates only 38 to a human reviewer.
Deployed anomaly detection on 48 injection-moulding sensors. The system caught a bearing-wear pattern 11 days before the previous maintenance schedule would have inspected it.
Send us a note describing the problem you want to solve. We reply within one business day with a preliminary assessment.
63896 Annette Parkways, H7A 0A1 Laval, Quebec, Canada
