Completed engagements and applications for your sector.

See seven client projects, then examples of problems we can solve in other sectors.

Seven completed engagements

Real client projects. Client names are not published.

Construction · AI Analytics
The actual margin of every job site

For a construction contractor, we connected their systems, including an ERP with no API. Twenty-one people now check job-site margins in French. Each answer used to take 2 to 3 days of analysis.

Manufacturing · AI Analytics
One overall view, one access per producer

For a manufacturer working with several producers, we brought 6 data sources together in one place. Each producer sees only its own data; the manufacturer sees the whole.

Tourism and hospitality · Agentic Development
A move back to Canada with no production downtime

A hospitality group's data and applications were hosted in the United States. We moved them to Canada: more than 25 sources and 22 schemas migrated, while production kept running.

Civil engineering · Agentic Development
Sensor information, sold in real time

For an engineering consulting firm, we connected its field sensors to a central data layer and developed a custom, AI-native application. The firm now sells real-time information to its clients.

Group insurance · AI Analytics
The profitability of every group, in real time

A group insurer calculated the profitability of its groups by hand. We connected its claims, ERP and invoicing, then automated the actuarial calculations. It now sees the profitability of every group in real time.

Agriculture · AI Analytics
The economics of every field

For a precision agriculture software firm, we connected internal applications, geospatial APIs, machinery GPS, economic data and producer data. The firm sees what each of its customers' fields earns and costs, and tracks their productivity in real time.

Retail · AI Analytics
The right products, the right customers

A retailer only saw Shopify's reports. We ranked its customers (RFM) and products (ABC), forecast demand and connected its data to its AI assistant through an MCP server. It now knows which products to order and which customers to target.

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