Zachry Selects ALICE for Heavy Civil Construction



The ALICE platform enables Zachry’s project teams to overcome inefficiencies of manual processes.

MENLO PARK, CA, Jan 27, 2025 – Zachry Construction Corp. (Zachry Construction) has implemented ALICE Core, an advanced AI-powered simulation and optimization solution that ALICE Technologies developed, for use on its key construction projects. This implementation marks a significant milestone in Zachry’s ongoing commitment to innovation, efficiency, and excellence in project delivery.

Renowned for its expertise and experience spanning more than 5,500 building and construction projects globally, Zachry Construction is a trusted partner in delivering complex heavy civil, transportation, utilities, and infrastructure projects. Now, the company is reinforcing its position as an industry innovator by incorporating ALICE Core into its project management.

“Our team’s commitment to continuous improvement and focus on innovation drive us to adopt advanced tools that enable more efficient and effective delivery of our projects,” said Ranjeet Gadhoke, vice president of project controls, Zachry Construction.

Transforming Project Controls through Generative Scheduling Technology

The ALICE platform empowers Zachry’s project controls teams to overcome the inefficiencies of traditional methods and technologies, which were often constrained by time-intensive and manual processes.

At the foundation of ALICE’s optimization platform is the company’s patented generative scheduling technology powered by AI, which enables the process of rapidly exploring project scenarios and construction strategies in close to real time, a process that is 800 times faster than a traditional manual approach.

With ALICE, Zachry’s teams can simulate exponentially more scenarios than ever before, gaining insights at every stage of the project lifecycle—from bidding to execution. This capability provides data-backed insights into risks and opportunities, enabling smarter decision-making and improved collaboration. By automating manual processes, the platform allows the team to focus on higher-value tasks, such as strategic planning, risk mitigation, and stakeholder engagement.

ALICE also optimizes resources, helping the team make data-driven decisions about the utilization of labor, materials, and equipment. By preventing over-allocation, avoiding under-utilization, and reducing idle time, the platform provides a proactive approach to managing resources that minimizes waste and ensures resources are deployed and utilized efficiently—all of which are essential for long-term success in heavy civil projects.

Gadhoke continued, “We are proud of our reputation as a leader in project controls within our market, and with ALICE, we’re taking our capabilities to an entirely new level. By using AI-powered generative scheduling, we can evaluate risks and opportunities across our projects in a fraction of the time it previously took, allowing us to deliver better outcomes for our clients.”

In its commitment to adopting and integrating innovation into its operations, Zachry’s project controls teams completed an intensive workshop and certified training program in generative construction technology, a comprehensive initiative that ALICE provides to all its clients.

“Zachry Construction has long been a leader in project controls and excellence, and we are proud to collaborate with them,” said René Morkos, Ph.D., founder and CEO of ALICE Technologies. “With a focus on innovation and accelerated growth, ALICE is helping construction teams set a new standard of planning and scheduling. We are excited to support Zachry in building smarter, faster, and with greater confidence.”

With ALICE’s deployment across several key projects, including new bids and ongoing projects in execution, Zachry Construction is redefining project delivery standards, seamlessly combining continuous innovation with its legacy of excellence.

For more information, visit alicetechnologies.com.



Source link

Related Posts

About The Author

Add Comment