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SmartPM

AI-powered construction schedule analytics and project controls

Cloud-based platform that analyzes CPM schedules across 35+ metrics in real-time, identifying schedule risks, delays, and quality issues before they impact projects. Integrates with Procore, Oracle P6, Microsoft Project, and BI tools to provide automated project controls across portfolios.

$5.5M raisedGrowth Stage
Founded 2016 · 100+ projects across major contractors including Zachry Construction, Layton Construction, Barton Malow, DesCor Builders, and AECOM. G2 rating: 4.9/5 stars; Capterra rating: 4.9/5 stars. Named to Inc. 5000 list of fastest-growing companies (2025).
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WHY IT EXISTS

Why This Tool Exists

The Problem

Construction teams spend 10+ hours weekly manually analyzing CPM schedules for delays, compression, and logic errors. Issues discovered weeks into execution cause costly rework and disputes. Schedule data—the most important project document—remains the least understood, leading to missed deadlines and budget overruns.

The Solution

AI-driven platform automatically analyzes every schedule update against 35+ industry metrics and best practices. Detects compression, logic errors, resource conflicts, and delay risks within minutes. Real-time dashboards with predictive analytics help teams identify issues early and make data-driven decisions to keep projects on time and on budget.

USAGE

How You Use It

Delivery Method
SaaSAPI
Integrations
ProcoreOracle Primavera P6Microsoft ProjectAutodesk BuildMicrosoft Power BITableauDomoAsta Powerproject
Disciplines
Construction
Workflows
Data & Automation
Project Phases
Construction Administration, Operations/FM
Project Types
Commercial, Infrastructure, Industrial, Mixed-Use
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:CPM schedule file, Project data
Optional:Project baselines, Quality checklists, Resource allocation data
Formats:P6 format, Microsoft Project (MPP, XML), Asta Powerproject, CSV schedule data
Output
What you get
Format:Real-time analytics dashboards and predictive reports
Fields:Schedule health metrics (35+ distinct metrics), Delay and acceleration predictions, Critical path analysis, Resource utilization insights, Compression detection, Logic error identification, Risk assessments, Progress tracking vs. baseline, What-if scenario analysis results
Algorithm
How it works
Model:Proprietary AI/machine learning model (specific architecture not disclosed)
Accuracy:Not independently verified; company emphasizes pattern-based risk detection rather than single-point accuracy metrics
Privacy
How your data is protected
Retention:Project-based retention (duration not publicly specified); customer data remains on customer account
Training:Not publicly specified whether schedule data is used to train models
Compliance:SOC 2 Type II Compliance, ISO 27001, FedRAMP High Authorization, GDPR compliant (per privacy policy)
API
Integration
Endpoint:Open API available at https://smartpm.com/api-and-integrations
Method:REST API
USE CASES

Use Cases

  • ·Daily schedule analysis and health monitoring for 100+ concurrent projects
  • ·Early identification of delay risks before they cascade through the schedule
  • ·Automated portfolio performance tracking and executive reporting
  • ·Integration of schedule analytics into Procore for unified project command center
  • ·What-if scenario modeling to assess impact of proposed changes before implementation
  • ·Dispute prevention through objective, AI-generated documentation of schedule performance
PRICING

Pricing

Free
Free 60-day trial available
Pro
Essentials: $10,000/year (unlimited projects and users, core analytics); Controls: $24,000/year (5 advanced analytics slots + all Essentials features)
Enterprise
Custom pricing for portfolio scale and additional slots; managed services add-ons available
Sources & Research NotesResearch date: 2026-02-01
Data Sources (13)
Fields Checked (19)
problem, solution, vendor, website, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, fundingTotal, input-formats, output-structure, control-features, useCases, pricing, compliance-certifications
Not Found (6)
algorithm-specific-model-name, data-retention-duration-days, training-data-policy-details, api-rate-limits-specifics, webhook-support-details, specific-ai-accuracy-metrics
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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