Platform · Data science
AI LAB. Turn your project history into proprietary AI.
Models trained on your data, configured around your objectives, and owned by you. Without writing a single line of code.
Who it's for
Built for the people who own the commitments.
AI and innovation leaders
A concrete, measurable, sovereign AI use case.
PMOs and project controls
Reliable schedule data, forecasts calibrated on your reality.
Data teams
A no‑code workbench, from dataset to deployed model.
Subject‑matter experts
Your rules and know‑how captured, validated, passed on.
What's different
What you won't find anywhere else.
Models unique to each client
Trained on your data, configured around your objectives, they belong to you.
Explainable and validated by your experts
Every pattern is traced back to the source data and reviewed before use.
Sovereign, patented, no‑code
Protected technology, hosted within your perimeter, accessible to business teams.
- +85%
- prediction reliability
- 15×
- faster trend detection
- 60%
- time saved on complex analysis
- +95%
- measured accuracy
How it works
Three capabilities, one platform.
01Pattern mining
The hidden regularities in your schedules.
02Models
AI models built on your data.
03Quality check
Anomalies detected, corrections proposed.
Features
The essentials, from the inside.
Hover over a feature to see it in action.

01 · Pattern mining
Pattern network
The recurring sequences in your projects, made visible.

02 · Pattern mining
Expert review
Every pattern traced, checked and validated by your experts.
Integrations
With your tools. And with the other modules.
Your historical schedules come in from Primavera, Microsoft Project or Planisware; your models deploy to SMART PPM, AI EXPERT or your third‑party systems.
See integrations and hosting- + SMART PPM — Your models make portfolio forecasts more reliable.
- + AI EXPERT — Every generation builds on your own patterns.
FAQ
What people ask us about AI LAB.
Who owns the trained models?
Does our data need to be perfectly clean?
Do we need data scientists?
Where are the models trained?
Use cases
AI LAB in the field.
Real situations, each with its proof.

AI LAB · Nuclear
Schedule defects & correction
A flawed schedule gives no warning. A quality check does.
+95% measured accuracy
See the use case
SMART PPM + AI EXPERT · Nuclear · Energy
Nuclear site maintenance
Workload, work permits, concurrent work. Together.
AI trained on engineering data
See the use case
AI EXPERT · Construction · Data centers
Generative scheduling in the bid phase
From tender documents to a committable data center schedule. In days, not weeks.
−85% time on the initial schedule
See the use case
More use cases? Our experts can walk you through them.
