Description
ALICE Technologies is an AI-powered construction scheduling platform that simulates millions of possible sequencing scenarios for a project, helping teams find an optimized schedule before a single shovel hits dirt. Rather than a single planner manually building one schedule and hoping it’s close to optimal, ALICE explores the space of possible sequences, resource allocations, and durations to surface options a human planner would be unlikely to construct manually, especially on large, complex projects with many interdependent activities. It’s positioned as the top choice in its category for schedule optimization on large projects, according to industry comparisons, and is often used alongside estimating tools like Togal.AI, with quantities feeding directly into schedule modeling. Pricing is entirely custom and tied to project volume or module selection, with no published rate card. It suits general contractors and construction managers running large, complex projects where the number of realistic scheduling options is genuinely too large to explore by hand.
Key Features
- Schedule simulation — models millions of possible sequencing scenarios to identify optimized options.
- Resource optimization — factors labor, equipment, and material constraints into schedule generation.
- Scenario comparison — evaluates trade-offs between different schedule options before committing.
- Integration with estimating data — quantities and cost data from tools like Togal.AI can feed directly into schedule modeling.
- Risk-aware sequencing — surfaces scheduling options that account for interdependencies between activities.
- Enterprise deployment — built for large, complex projects rather than single small jobs.
How It Works
A project team feeds ALICE the scope of work, quantities, and constraints — labor availability, equipment, material lead times, and activity dependencies — and the platform’s simulation engine generates and evaluates a very large number of possible sequences for completing the work. Rather than presenting one “optimal” schedule as a black box, ALICE lets a team compare different scenarios and trade-offs, such as a faster schedule that requires more overlapping crews versus a more conservative sequence with less coordination risk. Because this kind of exhaustive scenario exploration is impractical for a human planner working with a spreadsheet, the platform’s real value shows up most clearly on large projects where the number of genuinely different, viable sequencing options is large enough that manual planning would miss meaningfully better alternatives. In practice, ALICE is often used downstream of an estimating tool: quantities and cost data generated during pre-construction feed into the schedule model rather than being re-entered from scratch.
Technical Architecture & Overview
- Core Engine: Proprietary simulation and optimization algorithms for construction scheduling; specific underlying model architecture not published on ALICE’s official site.
- Deployment: Cloud-based enterprise platform.
- API Surface: Integrates with estimating and project data from tools like Togal.AI; specific developer API not publicly documented.
- Known Limits: No published pricing; enterprise sales-led with cost tied to project volume or module selection. Value is concentrated on large, complex projects — the simulation-heavy approach is likely overkill for small or simple jobs.
Pros & Cons
| Pros | Cons |
|---|---|
| Simulates millions of scheduling scenarios, surfacing options a human planner would likely never construct manually | No published pricing; every deployment requires a custom sales conversation |
| Positioned as the top choice for schedule optimization on large, complex projects, per industry comparisons | Value is concentrated on large projects; likely overkill for small or straightforward jobs |
| Integrates with estimating data from tools like Togal.AI rather than requiring quantities to be re-entered | Enterprise-focused deployment means a real onboarding and setup investment before the tool delivers value |
| Presents scenario trade-offs rather than a single black-box “optimal” schedule, keeping planners in the decision loop | No self-serve trial or transparent starting price to test before committing |
Our Take
ALICE’s real value only shows up on large, complex projects — the whole premise is exploring a scheduling option space too large for a human planner to work through by hand, and that premise only pays off when the option space is actually large. On the right project, that’s a genuinely different capability than traditional scheduling software, which builds one schedule rather than comparing many.
Not ideal for: small contractors or straightforward projects — the simulation-heavy approach, enterprise sales process, and implied cost only make sense once a project’s scheduling complexity genuinely exceeds what a planner can reasonably explore manually.
Pricing
ALICE Technologies does not publish pricing on its official site. Cost is set through an enterprise sales conversation and tied to project volume or which modules a team licenses, consistent with other enterprise construction platforms in this category. There is no self-serve trial or published starting figure; contacting ALICE’s sales team directly is the only way to get a quote.
Last verified: August 18, 2026
Platform Availability
Web
Best For
General contractors | Construction managers | Large and complex projects | Schedule-heavy pre-construction teams
Frequently Asked Questions
Does ALICE Technologies publish pricing?
No. ALICE uses custom, enterprise pricing tied to project volume or module selection; there’s no published rate card, and a quote requires direct sales contact.
What does ALICE actually simulate?
ALICE simulates millions of possible construction sequencing scenarios, factoring in labor, equipment, materials, and activity dependencies to surface optimized schedule options.
Is ALICE Technologies suited to small projects?
Not particularly. Its value is concentrated on large, complex projects with enough scheduling variables that manual planning can’t realistically explore all the meaningful options.
Does ALICE integrate with estimating tools?
Yes. Quantities and cost data from estimating tools like Togal.AI can feed directly into ALICE’s schedule modeling rather than requiring manual re-entry.
How does ALICE differ from OpenSpace?
ALICE focuses on pre-construction schedule optimization through simulation, while OpenSpace focuses on visual jobsite progress monitoring during construction — they address different phases and are complementary rather than competing.
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