Customer story

Spotting projects before competitors

Nordec Group Oy is one of the leading specialists in steel-frame structures and bridge construction in the Nordics and Eastern Central Europe, built on decades of experience with demanding projects from design to installation. Nordec chose Vainu’s Discovery Agent to identify the most relevant upcoming steel structure projects directly from public documents, automatically and early enough to act on them.

Manual tracking couldn’t scale

Nordec’s sales team needed to identify projects where a structural steel solution is genuinely significant, and do it early enough to influence the project’s optimal solution. Large steel projects such as industrial, infrastructure and data center builds develop for years before construction, with information scattered across municipal budgets, investment programs and decision documents in several countries. Manually tracking these sources country by country was not scalable, and it did not surface projects early enough.
Discovery Agent works as a digital foresight capability for us: it surfaces the sales signals that let us be in a project before our competitors are.
Jaakko Köninki, Commercial Development Manager · Nordec

Discovery Agent monitors the market

Nordec adopted Vainu’s Discovery Agent, which continuously analyzes public documents and reports across several Nordic countries. The AI understands context: it identifies project type, scale and commercial relevance, then sends the resulting leads straight into Nordec’s Salesforce CRM through a direct integration, so the right leads reach salespeople at the right time. The process has since been refined with detailed data analytics and CPV code optimization, which has improved how relevant the leads are.
Vainu features used
  • Discovery Agent
Monitoring public documents and reports in several Nordic countries for early project signalsIdentifying project type, scale and commercial relevance with AISending the right leads straight into SalesforceImproving lead accuracy with CPV code optimization
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