AI deployment optimizer that maximizes coverage from limited MANPADS inventory
Moroccan army previously lacked sufficient MANPADS to counter low-flying drones, helicopters, and cruise missiles
CoverForge analyzes terrain, threat corridors, population centers, and your exact MANPADS count to recommend optimal firing positions. It runs thousands of simulations to show coverage overlap and kill probability, allowing commanders to protect far more area with the same limited number of systems than intuitive placement would achieve.
Moroccan military air defense commanders and North African defense strategists
The only geospatial optimization tool purpose-built for MANPADS using PostGIS terrain analysis calibrated on North African elevation and vegetation data.
professional
Mapbox-based interface showing terrain, threats, and coverage cones
Calculates best deployment locations for given inventory
Common low-altitude approach paths for drones and missiles in the region
Input current MANPADS count and model variants
Visual probability of intercept across entire area of responsibility
Monte Carlo simulation of hundreds of attack scenarios
PDF and KMZ files for field use
Past incident data layers from regional conflicts
Plan deployments across allied units with shared visibility
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| country | text | No |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| organization_id | uuid | No |
| role | text | No |
| text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| organization_id | uuid | No |
| name | text | No |
| aor_geojson | text | No |
| manpads_count | int | No |
| coverage_score | int | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| deployment_id | uuid | No |
| latitude | text | No |
| longitude | text | No |
| elevation | int | Yes |
| kill_probability | int | Yes |
Relationships:
/api/optimizeRun deployment optimization algorithm
/api/deploymentsList user's deployment plans
/api/terrainUpload custom terrain elevation data
/api/coverageReturn heatmap data for a deployment
3 plans per month
Unlimited
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 35 | 14% | $171 | $2,052 |
| Month 6 | 310 | 18% | $1,953 | $23,436 |
AI geospatial optimization that shows exactly where to place your limited systems for maximum coverage against low-flying threats.
Begin with outreach to planning staff at the Moroccan Royal Armed Forces Air Defense Command using warm intros from defense industry contacts. Offer free Professional tier access for 60 days to two planning departments. Present findings at the next North African Defense Conference to generate additional leads from Algeria and Mauritania.
Powerful GIS platform
Generic, requires GIS expertise and expensive add-ons
Purpose-built MANPADS optimizer with one-click recommendations
Extremely powerful data integration
Overkill and inaccessible for most North African forces
Focused, affordable, and fast for this specific use case
Continuous feedback loop from deployed plans vs actual outcomes will refine the optimization algorithms into a proprietary North African defense model.
Recent conflicts demonstrate that intuitive MANPADS placement leaves massive coverage gaps. Newer drone threats require mathematically optimal positioning that commanders currently lack tools to calculate.
Optimization algorithm produces unrealistic positions
Constrain solutions with military doctrine rules and validate with advisors
Commanders distrust black-box AI recommendations
Provide full transparency into scoring methodology and allow manual overrides
Use of satellite/terrain data may have restrictions
Only use publicly available elevation data (SRTM, OpenTopography)
Success: All 5 agree recommendations are superior to manual planning
Success: They adopt at least one generated plan for exercise
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