Bentley Systems Wins Gold Stevie Award for AI in Construction 2026

Infrastructure teams face growing pressure to deliver complex civil engineering and construction projects faster, with fewer errors and tighter budgets. Bentley Systems has now been recognized with a Gold Stevie Award for an AI breakthrough that directly targets these operational challenges, signaling a shift in how engineering software applies machine learning to real project data.

What was announced

Bentley Systems, the infrastructure engineering software company, received a Gold Stevie Award for AI innovation in construction and civil engineering technology. The recognition highlights Bentley's investment in embedding AI capabilities across its engineering portfolio, from design automation to project delivery workflows used by contractors, owners, and public infrastructure agencies worldwide.

Why this matters

For CIOs, CTOs, and IT procurement leaders in engineering, construction, and public infrastructure organizations, AI-enabled design and project delivery tools are becoming central to digital transformation strategies. Verified third-party recognition such as the Stevie Awards helps decision-makers benchmark vendor maturity, reduce technology risk, and justify investment in modernization programs.

Applied AI in infrastructure engineering is no longer experimental; it is becoming a core productivity layer for design and construction teams

Technical details

• Category: Gold Stevie Award for AI in construction and civil engineering technology
• Focus areas: design automation, generative engineering, project delivery analytics
• Vendor: Bentley Systems, infrastructure engineering software
• Use cases: roads, rail, water, energy, and public works projects
• User base: engineers, contractors, owner-operators, and public agencies

Softprom and Bentley Systems

Softprom is the official distributor of Bentley Systems. Our team supports customers with licensing, technical consulting, deployment, and training across the Bentley portfolio.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.