AI that predicts budget overruns before they happen
Independent contractors in construction suffer from poor integration between estimating software and job costing systems, leading to persistent budget overruns.
CostGuard AI ingests historical job data and current estimates, then flags high-risk line items with probability scores. Contractors receive prioritized recommendations to adjust crews or materials before work starts.
Independent contractors in the construction industry managing multiple projects with separate estimating and costing workflows
Predictive risk scoring trained on real construction project outcomes rather than generic accounting rules.
professional
AI model assigns overrun probability to every estimate line
Upload past projects to train the model on your specific work
Suggests material swaps or crew adjustments
Ingest estimates from major formats
Email summary of all project risk levels
Run what-if simulations on material price changes
Compare your projects against anonymous peers
Export risk data to other tools
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| raw_data | text | No |
| risk_score | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| estimate_id | uuid | No |
| probability | int | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| created_at | timestamp | No |
/api/predictRun AI risk analysis on estimate
/api/trainUpload historical data for model training
3 projects
Unlimited
5 users
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 12 | 30% | $72 | $864 |
| Month 6 | 150 | 32% | $960 | $11,520 |
AI trained on thousands of real construction projects spots budget risks in your estimates
Target contractors who post about overruns on Twitter and construction forums, offer free AI analysis of their last 3 jobs in exchange for case studies.
CRM integration
No predictive AI
Purpose-built AI risk engine at fraction of price
Proprietary dataset of labeled construction project outcomes
AI models are now accurate enough and cheap enough for narrow vertical use cases
AI hallucination on small datasets
Start with rule-based fallback + human review
Success: Model achieves >75% accuracy on holdout set
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