The world's first generative construction simulation and optimization platform.
ALICE Technologies represents a paradigm shift in construction management, moving away from static, manual scheduling toward a dynamic, generative approach. At its core, ALICE utilizes a proprietary parametric simulation engine that allows project teams to define construction constraints—labor, equipment, methodology, and spatial requirements—rather than just linear sequences. By 2026, ALICE has solidified its position as the industry standard for 'Optioneering,' enabling contractors and owners to simulate millions of potential project schedules in minutes. The platform's technical architecture excels in handling complex infrastructure and high-rise commercial projects where traditional Critical Path Method (CPM) tools like Primavera P6 fail to account for the trillions of possible permutations. ALICE doesn't just manage a schedule; it explores the entire solution space to find the optimal path for cost, speed, or carbon efficiency. This proactive risk mitigation and resource optimization capability reduces project durations by an average of 14% and labor costs by 11%, making it an indispensable tool for the global AEC (Architecture, Engineering, and Construction) sector as it navigates increasing labor shortages and material volatility.
Allows users to define 'recipes'—logical rules for how work is performed (e.g., pouring concrete for a slab)—which the AI uses to build the schedule automatically.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Real-time synchronization between the schedule logic and the 3D model geometry.
An evolutionary algorithm that respects labor, equipment, and material constraints simultaneously.
Side-by-side comparison of different execution strategies (e.g., adding a second crane vs. working weekend shifts).
Algorithmic adjustments to the remainder of a project based on actual field performance data.
Simulation of schedules based on the carbon intensity of equipment and materials.
Algorithms that optimize resource allocation across a portfolio of multiple projects.
General contractors need to find a competitive edge to win low-bid or best-value public works projects.
Registry Updated:2/7/2026
Present the optimized simulation to the owner as part of the bid package.
A high-rise project is 3 months behind schedule due to supply chain issues.
Optimizing the placement and quantity of tower cranes on a dense urban site.