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SmartMix™

AI-Powered Mix Optimization Software for Ready-Mix Producers

MixPilot™

The 1st Non-Invasive, Self-Calibrating, In-Transit Slump Sensor
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Roxi

First artificial intelligence (AI) program created for concrete testing
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SmartRock®

Wireless Concrete Sensor for Temperature and Strength Monitoring
SR Long Range with Signal

SmartRock® Long Range

Long Range Concrete Sensor for Temperature and Strength Monitoring
SR4 pro

SmartRock® Pro

The 1st Fully Self-Calibrating Concrete Strength Monitoring Sensor
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Giatec 360™

An Advanced Web-Based Dashboard for Monitoring and Managing Concrete Pours

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NDT Devices and Lab Equipment

Devices for Measuring Rebar Corrosion, Permeability, and Resistivity of Concrete

Data-Driven Material Screening of Secondary and Natural Cementitious Precursors

Data-Driven Material Screening of Secondary and Natural Cementitious Precursors 

Giatec continues to uphold the value of bridging the gap between academic research and sustainable construction on the jobsite. Every year, we recognize civil engineering students, researchers and faculty across Canada and the U.S. with the Giatec Best Paper Award for Sustainability in Construction. Below is a summary of the winning 2025 paper submitted by Dr. Soroush Mahjoubi and his team, “Data-Driven Material Screening of Secondary and Natural Cementitious Precursors.” Want to see how you can share your research for the 2026 Giatec Best Paper Awards? Learn more here! Research Background  Concrete is the most widely used manufactured material on the planet, and because we produce so much of it, it has a significant carbon footprint. Most of those emissions come from clinker, the binder in cement that requires energy-intensive kilns and releases CO₂ when limestone is calcined. For decades, the industry has replaced a portion of clinker in mixes with lower-carbon materials such as coal fly ash and steel slag. However, as coal plants shut down and steel recycling ramps up, supplies of these traditional substitutes are shrinking.  To continue reducing emissions by replacing clinker, the industry needs new supplies of clinker replacements. New research from the MIT Concrete Sustainability Hub and Olivetti Group aims to mitigate this problem with the help of artificial intelligence (AI) and machine learning (ML). The team used large language…

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How SmartRock™ Helps Contractors Meet the New Dubai Municipality Law No. 7 Requirements 

Dubai’s Law No. 7 of 2025 has introduced a new contractor classification system that redefines how contractors operate in the emirate.  Dubai Municipality’s digital registry records and links every aspect of a contractor’s performance to classify them under its new, publicly accessible contractor classification law.  The latest challenge for most contractors lies in maintaining up-to-date quality documentation and real-time compliance records. Dubai Municipality’s digital registry connects every aspect of a contractor’s operational performance, meaning testing delays and documentation gaps can affect classification standing.  According to the AECOM Middle East Review 2025, regional construction projects experience average delays of 83% beyond schedule, with traditional 28-day concrete strength testing remaining a key contributing factor.  In this blog, let’s explore how real-time concrete monitoring using the maturity method helps contractors eliminate testing bottlenecks, maintain schedules, and demonstrate quality control competency under Law No. 7.  Understanding Dubai’s Law No. 7 of 2025  Issued on July 8, 2025, Law No. 7 establishes a unified contractor classification system managed by Dubai Municipality. This new framework represents a complete restructuring of how contractors are evaluated and authorized to operate in Dubai.  Contractors have one year from the law’s effective date (six months after its publication in the Official Gazette) to regularize their status. Dubai Municipality may extend this period to two years in certain cases, though early compliance remains the recommended approach.  The Penalty Structure  The regulation establishes strict requirements for maintaining classification status. Contractors can face penalties of up to Dh200,000, potential…

Artificial Intelligence in Construction: Guide for Smarter, Safer, and More Profitable Building

The construction industry is undergoing a tech-driven transformation as artificial intelligence (AI) becomes an integral part of how we build. Long-standing challenges, from skilled labour shortages to safety risks and slim profit margins, are driving firms to adopt AI solutions to gain a competitive edge. In fact, 92% of contractors report difficulty filling open positions, contributing to project delays. Meanwhile, AI adoption is surging; 74% of AEC leaders now use AI in at least one phase of construction projects. The market for AI in construction is projected to grow from $3.99 billion in 2024 to $11.85 billion by 2029, a clear sign that AI’s impact is accelerating. In this blog, we’ll explore the key challenges AI addresses that make building projects smarter and safer, and how these innovations lead to more profitable outcomes. From intelligent concrete sensors and robotic assistants to predictive software and AI-driven project dashboards, today’s construction professionals can leverage AI for tangible benefits. Smarter Projects Through AI-Driven Insights and Analytics Modern construction projects generate massive amounts of data: blueprints, schedules, weather logs, sensor readings, and more. AI turns this data into actionable intelligence to plan and build smarter than ever before. Digital Twins and Generative Design One major advance…

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