Karmen is an AI‑driven scheduling assistant for construction projects that automatically extracts work breakdown structures, activities, and logic from specifications, drawings, and historic schedules to create baseline plans. Users can refine schedules with natural‑language commands and keep them up to date as change orders arise, with one‑click export to Microsoft Project or Primavera P6 and API‑based updates. The platform learns a firm’s scheduling practices to deliver customized, error‑reduced schedules while maintaining SOC 2 Type II compliance.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Construction projects often rely on manually created baseline schedules that require extensive data entry from specifications, drawings, and historic plans, leading to lengthy setup times and a high risk of errors. Maintaining these schedules as change orders occur is labor‑intensive, causing delays and inaccurate critical path analysis.
Solution
Karmen provides an AI‑driven scheduling assistant that ingests project documents—such as specifications, architectural drawings, and previous schedules—to automatically generate a work breakdown structure, activity list, and logical relationships for a baseline schedule. Users can refine the generated schedule using natural‑language commands and export the result to Microsoft Project or Primavera P6. As change orders are introduced, Karmen detects the scope changes, proposes updated activity durations, creates impact narratives with document citations, and performs CPM impact analysis. Approved updates can be pushed directly to the master schedule via the P6 or Microsoft Graph APIs, keeping the schedule current without manual re‑work. The system learns from an organization’s past scheduling practices, ensuring that generated schedules reflect company‑specific conventions rather than generic templates.
Target Audience
Primary customers are construction project managers, schedulers, and EPC firms that need fast, accurate baseline creation and ongoing schedule maintenance for large, document‑heavy projects.
Features
- Automatic extraction of WBS, activities, and logic from multi‑hundred‑page specifications and drawings
- Natural‑language editing of generated schedules for quick adjustments
- Change‑event detection with auto‑suggested schedule updates and impact narratives linked to source documents
- Integrated CPM impact analysis and fragment creation for each change
- One‑click export to Microsoft Project or Primavera P6 and API‑based push of approved updates
- Learning engine that adapts to a firm’s historical scheduling patterns for customized outputs
- SOC 2 Type II compliance ensuring data security and industry‑standard privacy controls