Home / Compare / ALICE vs Karmen
ALICE vs Karmen
Two AI-first scheduling tools that approach the schedule from different ends: ALICE simulates and optimizes scenarios from an existing schedule or 3D model; Karmen drafts and edits schedules from project documents. Vendor-published facts only.
Side by side
| Sheet row | ALICE | Karmen |
|---|---|---|
| Category | Scheduling | AI scheduling co-pilot |
| AI role (our label) | AI-first | AI-first |
| What it does | AI construction planning and scheduling software ("generative scheduling") that simulates many construction scenarios ("what-if" exploration) to optimize, de-risk, and recover schedules, usable at bid stage and during construction. Products listed: ALICE Optimize, ALICE Analyze, ALICE Model (baseline from a 3D model), and ALICE FieldPlan (beta), plus a Schedule Insights Agent for chatting with a schedule. Imports Microsoft Project, Oracle Primavera P6, and Primavera Cloud schedules. Vendor says it has been deployed on more than $410 billion of construction projects (vendor claim). | AI scheduling co-pilot that reads project documents (drawings, specs, historic schedules and templates in P6/MSP/XER) and is steered with natural language to build new schedules (WBS, activities, logic links), update existing ones including time-impact analysis (fragnets), and analyze float and critical-path movement between monthly updates. Exports to Primavera P6 and Microsoft Project. Vendor says it learns from your historic schedules and reads thousands of pages in minutes (vendor claims, not verified). Security: vendor says SOC 2 reports are shared on request, data is encrypted in transit and at rest, and project documents are never used to train shared models. |
| Who it's for | Owners, contractors, and consultants. Pricing FAQ says it is most often used by GCs and owners in infrastructure, industrial, and commercial sectors, generally on projects of at least $75M construction value. | Schedulers, superintendents, and general and specialty contractors who own a project timeline (vendor quotes a GC scheduling director and superintendents). |
| Pricing (as publicly stated) | Not publicly listed (pricing page says pricing is based on the size and scope of your projects, by custom quote; it lists unlimited users and unlimited data). | Not publicly listed (site routes to a demo booking). |
| Test status | Not tested. No scores. | Not tested. No scores. |
| Vendor links | ||
| Sources |
Facts last checked: Oct 14, 2026. Prices change; check the vendor page before relying on them.
Where the vendor descriptions differ
- Starting point: ALICE imports Microsoft Project, Primavera P6, and Primavera Cloud schedules and can build a baseline from a 3D model (ALICE Model). Karmen reads drawings, specs, and historic schedules (PDF, XER) and builds WBS, activities, and logic from them.
- Core job: ALICE describes generative scheduling, simulating many construction scenarios to optimize, de-risk, or recover a schedule. Karmen describes natural-language building and editing, time-impact analysis with fragnets, and update-to-update float and critical-path tracking.
- Output: Karmen exports to Primavera P6 and Microsoft Project. ALICE works alongside existing P6/MS Project schedules and adds analytics, a Schedule Quality Score, and a Schedule Insights Agent.
- Project size and buyers: ALICE's pricing FAQ says it is generally used on projects of at least $75M by GCs and owners; it claims deployment on $410B+ of projects. Karmen quotes GC schedulers and superintendents and does not state a project-size range.
- Security: ALICE states SOC 2 Type II and Cyber Essentials Plus. Karmen says SOC 2 reports are shared on request and project documents are never used to train shared models.
- Pricing: neither publishes prices. ALICE quotes by project size and scope with unlimited users.
Paraphrased from the sources listed above. Vendor claims are reported as claims.
What we can't tell you yet
Which tool is better for your work. That needs testing on the same package with a verified answer key. Planned measures for this comparison:
- Schedule quality on the same bid package (logic density, missing activities) against a scheduler-built baseline
- Hours for a scheduler to correct an AI-drafted schedule into a submittable baseline
See the methodology and leaderboard status.
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