---
title: Reduce Hidden Grading Costs on Complex Terrain | PVX.AI
description: Earthwork on a 200MW project can swing from $50K to $2.5M. PVX.AI optimizes terrain-aware layout, cut/fill, and drainage inside AutoCAD.
---

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Solar Grading Optimization | PVX.AI

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Grading Optimization

Grading Optimization

# Same Site. Three Approaches. $727K Difference.

 On a site where 44% of the ground was solid rock, traditional grading would have cost $1.06M. PVX.AI's approach: $335K. The difference was made at design, not construction.

- Full terrain smoothing: 118,225 m³ earthwork, $1.06M
- Pile-adaptive grading: 48,109 m³, $438K
- Table splitting + pile-adaptive: 34,819 m³, $335K
- All three approaches tested on the same panels, same capacity

### Book a Demo

30-minute live walkthrough with your terrain data. No commitment.

![Four slope analysis approaches compared side by side in PVX.AI](https://go.pvx.ai/hubfs/landing-pages/pvxai-ui-autocad-slopemaps.png)

3.8 GWp

Designed

5.0 ★

G2 Rating

$727K

Earthwork Saved

$430K

Cable Costs Saved

## Why Your Earthwork Estimate Depends on Your Design Tool

Most solar design tools assume flat terrain or apply a single grading method. On complex sites, that single assumption can cost $700K+.

![Four slope analysis approaches compared side by side](https://go.pvx.ai/hubfs/landing-pages/pvxai-ui-autocad-slopemaps.png)

| Approach | Earthwork Volume | Cost |
| --- | --- | --- |
| Full terrain smoothing | 118,225 m³ | $1,062,481 |
| Pile-adaptive grading | 48,109 m³ | $438,046 |
| Table splitting + pile-adaptive | 34,819 m³ | $335,376 |

Source: CS#1 engineering analysis. All three approaches produce the same panel capacity.

## How It Works

From raw terrain to construction-ready outputs. Three steps, one AutoCAD file.

![Slope analysis on real terrain inside PVX.AI](https://go.pvx.ai/hubfs/landing-pages/pvxai-ui-autocad-slope-analysis.png)

Terrain Analysis

### Read the Ground First

PVX.AI imports your actual topo surface into AutoCAD. Slope analysis and soil hardness mapping show where grading costs will concentrate before a single pile is placed.

![Cut/fill comparison before and after optimization](https://go.pvx.ai/hubfs/landing-pages/pvxai-ui-autocad-cut-fill-before-after.png)

Grading Optimization

### Compare Approaches Automatically

Three grading methods applied to the same site. Cut/fill volumes calculated per approach. You choose the method that balances cost, constructibility, and pile length constraints.

![Pile-adaptive leveling and construction outputs in PVX.AI](https://go.pvx.ai/hubfs/landing-pages/pvxai-ui-autocad-leveling-adapt-terrain-to-piles.jpeg)

Construction Output

### Design That Matches the Site

Pile coordinates, grading sheets, cross-sections, and drainage plans. Construction-ready outputs from the same AutoCAD file.

## It's Not Just Grading

On the same 130 MWp plant, cabling optimization saved another $430K.

![Leapfrog cable routing layout in PVX.AI](https://go.pvx.ai/hubfs/landing-pages/pvxai-ui-autocad-solar-leapfrog-stringing.png)

DC Cabling Optimization

$430K saved

 PVX.AI calculates cable routes for Line String, U String, and Leapfrog topologies with voltage drop per string. At 130 MWp scale, the cabling method choice alone is a $430K decision.

## See It on Your Terrain Data

Bring your topo file. We run PVX.AI on your actual project in 30 minutes.

3.8 GWp

Designed

5.0 ★

G2 Rating

AutoCAD

Native

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