AI analytics uniting field data with office plans to predict overruns.
Enterprise construction teams suffer project delays and cost overruns from fragmented communication tools and siloed apps that fail to integrate field data with office planning.
ConstruxAI ingests field data and office schedules, using AI to detect risks and forecast delays. It generates actionable insights and auto-adjusts plans, integrating across apps. Teams avoid overruns with predictive alerts and reports.
Enterprise construction teams managing large-scale projects
Predictive AI models trained on construction-specific delay patterns.
friendly
Auto-pull from field apps and planners.
AI flags potential delays early.
Visual predictions vs actuals.
Push notifications for risks.
Automated weekly insights.
What-if planning tools.
Historical pattern insights.
Push to Excel/PDF.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| subscription_tier | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| user_id | uuid | No |
| plan_data | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| metrics | text | No |
| timestamp | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| risk_score | int | No |
| forecast | text | Yes |
| generated_at | timestamp | No |
/api/projects/:id/ingestIngest field data
/api/predictions/:projectIdGet forecasts
/api/alertsFetch user alerts
/api/reportsGenerate report
/api/sourcesAdd data source
No alerts
Limited AI runs
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 40 | 6% | $72 | $864 |
| Month 6 | 250 | 18% | $1,350 | $16,200 |
ConstruxAI analyzes field + office data to forecast issues before they cost you.
Email cold outreach to ENR 400 firms' PMs with pain-point case study; join AGC webinars for networking; offer free audits of their recent projects.
Scheduling
No AI/field integration
Affordable AI layer
Field capture
Basic analytics
Advanced predictive AI
Proprietary AI models improving with user data.
AI maturity + labor shortages amplify need for predictive tools in booming infrastructure spend.
AI accuracy issues
Start simple + user feedback loop
Data privacy
GDPR/SOC2 compliance
Model training time
Pre-trained starters
Success: Interest >70%
Success: Accuracy >75%
Success: 50 signups
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