Issue 01 / Early-stage engineering

Engineering
intelligence,
before surveys.

Score a renewable project's engineering complexity and likely cost delta from just a boundary, a grid point, and a capacity. No survey required, and every number traces back to physical engineering coefficients you can defend to an investment committee.

Start free →No survey required. No black box.
Project inputPRE-SURVEY
BoundaryKML / GeoJSON upload
Grid pointLat / Lon
Voltage33 / 66 / 132 kV
Capacity50 MW
TechnologyPV + 20 MWh BESS
Complexity score0.72

Eight domains: topography, geology, hydrology, infrastructure, land fragmentation, environmental constraints, natural hazards, country factors.

How the
engine reasons.

Every cost adjustment propagates through a chain of physical mechanisms. Nothing is a single number. Nothing is a black box. Every adjustment traces back to engineering coefficients from published literature and papers, so the complexity score translates directly into a cost delta you can take to an investment committee. You can take the chain to a lender, an investment committee, or a competing bidder's CAPEX and point to exactly where and why.

Reasoning chain / civil works / project A
Step 01 / Input
Slope 18°

Topographic analysis of boundary returns mean slope above the 12° benchmark threshold.

Step 02 / Mechanism
+34% cut & fill

Steeper terrain drives earthworks volume above the benchmark for tracked plant access.

Step 03 / Mechanism
+22% road length

Additional road construction required to access pads and string inverters across the site.

Step 04 / Mechanism
-18% productivity

Lower construction productivity on steep grades reduces daily output of civil crews.

Step 05 / Output
+19% civil cost

Per-component adjustment relative to the benchmark, traced through four physical mechanisms.

User 01

IPP development teams

Screen sites fast without pulling senior engineers off billable work every time someone asks whether to bid on a site.

User 02

Funds & banks

Get a defensible complexity read before committing to full due diligence, without deep in-house engineering.

User 03

IPP strategy teams

Compare competing tender bids and see exactly why one project's CAPEX beats another's, and which bids are actually credible. EPCs could use it for preliminary non-binding offers, but likely have internal tools already, so they're a secondary audience.

What you get / per project

Not a CAPEX
number. A reasoning
trail.

01

Complexity score

A single defensible 0-1 score propagated from eight engineering domains, with per-domain breakdown. Not a grade — a defensible cost adjustment.

02

Cost adjustments

Per-component deltas relative to a benchmark: civil works, electrical, transmission, roads, foundation. Every adjustment traces back to engineering coefficients from published literature and papers.

03

Risk & confidence

Schedule risk, technical risk, and a confidence level that reflects how much open data exists for this region.

04

Next studies

Recommended next surveys and investigations, ranked by how much each would reduce uncertainty in the score. No black box, no single CAPEX number, just engineering reasoning made transparent and repeatable.

The real moat

Portfolio
calibration.

Users upload their own completed projects, EPC offers, CAPEX breakdowns, and lessons learned, and the engine calibrates against their real portfolio instead of just literature. When the client has real project cost data from projects already in construction or operation, the engine calibrates against those actuals instead, making the cost adjustment far more precise and credible than literature alone. That benchmark CAPEX is then time-adjusted using current material cost indices (steel, copper, diesel), labor inflation, and currency rates, so a 2022 EPC offer is translated into today's money before the comparison is made. Every project they feed it makes the tool smarter and more accurate for their specific context. That proprietary calibration layer is what makes this worth paying for and very hard to copy. At its core Terrascore is a comparison engine: you are always measuring a project against other projects, whether competing bids in a tender or your own pipeline for prioritization. When you have a benchmark project with real CAPEX, the score anchors to that number. When you do not, the literature-grounded coefficients still produce a cost adjustment tied to real money.

Run your first project

Stop reasoning
by analogy.
Start reasoning by chain.

Upload a boundary, grid connection point, voltage, capacity, and technology choice. The platform pulls open geospatial datasets, computes deterministic engineering indicators across topography, geology, hydrology, infrastructure, land fragmentation, environmental constraints, natural hazards, and country factors, then propagates those through a transparent engineering reasoning engine to produce a complexity score, per-component cost adjustments relative to a benchmark, schedule risk, technical risk, confidence level, and recommended next studies. The tool also scans uploaded project documentation for inconsistencies: mismatched MWp across permits and studies, different project contours or boundaries between documents, conflicting assumptions that a senior engineer would flag but a junior one might miss. It does not replace engineers; it saves them screening time so they focus on the projects that warrant deep review. You can export the full analysis as an Excel table to compare multiple projects side by side, or generate a branded one-page engineering risk summary as a PDF for investment committees and deal rooms. Free tier includes three project runs.

Free tier
  • 3 project runs
  • Full reasoning chains
  • PDF export for IC
  • No survey required
Start free →