Nedcon
AI learns from past projects to suggest optimal beam and column profiles — cutting verification iterations from 9 to 2–3 without compromising safety.
- >60% fewer iterations
- 9 → 2 iteration rounds
- 0 safety compromises
The Opportunity
NEDCON's structural engineering software verifies that beam and column profiles can safely handle the load. But verification requires good estimation first — and good estimation requires iteration. Engineers run through multiple attempts to find optimal configurations, a process so time-consuming that resellers often send complex projects to backoffice, delaying quotes.
NEDCON had accepted it as "how structural engineering works." But NorrLab saw something else: Pattern recognition waiting to happen.
The Solution
What if AI could learn from all past projects to suggest optimal profiles before verification even starts? Not replacing the safety-critical verification step — enhancing it by reducing the iterations needed to reach the right answer.
The AI analyzes historical results and performance characteristics to predict appropriate beam and column types, integrated directly into NEDCON's existing workflow. Users still verify — but instead of nine iterations, they might need two or three.
The brilliance? Any AI "hallucination" gets caught immediately during verification. The safety net is built in.
The Impact
NEDCON now has validated proof that AI can work in structural engineering for material handling. A pathway to faster quotes, more confident resellers, and engineering intelligence that learns from every project — all while maintaining the structural integrity verification standards that keep people safe.
“NorrLab saw an opportunity we overlooked ourselves. Now we're exploring real AI applications in material handling to decrease iterations by more than 60%”
David SmidekProduct Manager Applications, NEDCON