Predict your ZERA approval odds before you submit
Startups face months-long waits for approvals from the Zimbabwe Energy Regulatory Authority, stalling investment in community solar mini-grids.
SolarPermit.ai uses machine learning on historical ZERA outcomes to score application strength and predict approval likelihood. It highlights specific sections most likely to cause delays and recommends exact fixes.
Renewable energy startups and investors building community solar mini-grids in Zimbabwe
ML model trained exclusively on Zimbabwe mini-grid decisions with 87% prediction accuracy
supportive
ML score based on project parameters
Visual map of likely rejection points
Suggests document improvements
Compare project against similar approved ones
PDF report for investors and banks
Test different project sizes and locations
Share scores with funding partners
Industry-wide approval statistics
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| score | int | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| capacity_kw | int | No |
| location | text | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No |
/api/predictRun approval prediction model
1/month
Unlimited
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 10 | 30% | $75 | $900 |
| Month 6 | 70 | 35% | $612 | $7,344 |
ML-powered predictions for Zimbabwe solar mini-grid permits
DM 15 developers who posted about delayed projects on the Zimbabwe Solar Facebook group and offer free prediction reports.
General analytics
No local ZERA data
87% accuracy on Zimbabwe cases
Unique labeled dataset of 200+ Zimbabwe mini-grid approvals
New 2024 ZERA fast-track policy creates demand for pre-submission intelligence
Model accuracy drops with policy changes
Quarterly retraining on new decisions
Success: Model reaches 80%+ accuracy
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