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Ichi
AI for ensuring code compliance, automating construction administration and strengthening QA/QC.
SmartStruct
SmartStruct is a next-generation construction management platform that unifies project tracking, team and HR management, trade communication, inventory control, and risk assessment into one automated dashboard
Nialli Inc.
Nialli is a cloud-based visual planning and collaboration platform that helps construction teams digitally transform pull planning and task coordination for better schedule visibility and team alignment.
Contineu
AI for Construction QA/QC - Automatically detect & track every defect across trades on your site.
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Learn about the latest architecture software, engineering automation tools, & construction technologies
Moving to the Cloud: Egnyte’s Staged Approach for Architecture Firms
As projects grow, AEC firms are rethinking data management and collaboration. This article outlines Egnyte’s six-stage Architecture Cloud Journey—a practical roadmap for moving from on-premise systems to secure, collaborative cloud environments. From assessment to continuous improvement, it shows how to streamline workflows, strengthen security, and future-proof with AI-ready infrastructure.
SaaS Founders: Are You Timing Your GTM Right?
This article was written by Frank Schuyer, who brings firsthand experience as a founder in the software and SaaS world. In this piece, he explores how founders can unlock faster growth and stronger market traction by integrating go-to-market strategy (GTM) from the very beginning of product development—rather than treating it as an afterthought.
The VIKTOR App Builder: Putting Automation into Every Engineer's Hands
The VIKTOR App Builder is changing how engineers automate their work. Built on VIKTOR’s secure, enterprise-ready platform, it lets users turn calculations, checks, and post-processing tasks into shareable browser-based apps—no coding required. In this interview, CPO Stijn Jansen explains why the team created it, how it bridges no-code, low-code, and full-code workflows, and what it means for the future of AI-assisted engineering.
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