DataShark | Underwriting for data center site selection
Site screening + underwriting · Data center development

The underwriting layer for
data center site selection.

Know which data center sites to advance before you spend on them. DataShark scores power, land, water, fiber, and permitting on one consistent framework and turns the result into a decision-ready brief.

Built at Solmar Capital Corp.
3,382 projects screened
912.3 GW reviewed
SITE READINESS DEMO
84 / 100
Weighted readiness · evidence-backed
ADVANCE
HOUSTON COUNTY, TXERCOT3,916 AC
Category readiness · / 100
Power88
Market86
Land85
Environmental82
Water80
Hazards90
Missing evidence
Utility deliverability requires direct confirmation
Fiber route and timing pending provider detail
Proven internally

Validated across 3,382 projects, not a prototype.

DataShark is the workflow Solmar Capital uses to underwrite its own development and brokerage pipeline. The model was built and refined against thousands of evaluations before it was opened to outside teams, so it reflects how diligence works in the field, not how a vendor imagines it.

0
PROJECTS SCREENED INTERNALLY
0GW
ENERGY INFRASTRUCTURE REVIEWED
0
SITE-SCORING CATEGORIES
How it works

One structured, scored view of every site.

Data center siting brings together power, land, water, fiber, permitting, and environmental factors from many sources. DataShark structures those inputs into a single intake, evaluates each against a consistent framework, and links every conclusion to its evidence. The output is one comparable readiness score per site, with the reasoning on record.

broker teaser.pdf GIS parcel layer utility notes interconnection queue Phase I env hydrology report title / ownership fiber maps permitting posture
Structured intake · Houston County, TX
Market / ISOERCOT
Acreage3,916 ac
POI voltage345 kV
SubstationAdjacent
WaterGroundwater feasible
FiberLateral optionality
Fatal flawNone in primary zone
The scoring framework

A weighted model, normalized to a readiness score out of 100.

Eight categories of weighted criteria, screened first for fatal flaws, then scored and normalized to one readiness score. Every site runs through the same framework, scores compare on one scale across markets, and the evidence behind each score stays on record. Where evidence is thin, the model flags it rather than assuming, so a strong score always rests on confirmed inputs.

0/100
Readiness score
8
CATEGORIES
Gated
FATAL-FLAW SCREEN
0–100
READINESS SCORE
Sample profile · Houston County, TX · / 100
Power & Energy88
Market Access86
Land85
Customer Fit84
Environmental82
Water80
Community78
Natural Hazards90
Power & Energy
Interconnection, scale, and supply mix
Water
Supply, cooling, and discharge
Land
Contiguous acreage, topography, and geotech
Environmental
Air permitting, wetlands, and cultural resources
Natural Hazards
Flood and disaster exposure
Market Access
Fiber, transportation, and workforce
Customer Fit
AI, hyperscale, colocation, and edge alignment
Community
Local support, entitlement risk, and policy climate
The workflow

From intake to a decision-ready brief.

One path, five stages. The same framework on every opportunity, so a portfolio compares like for like.

01

Ingest

Teasers, maps, utility notes, environmental and geotech reports, and worksheets come into one workflow, in whatever format they arrive.

02

Normalize

Core project fields are standardized into a common structure, and any missing evidence is flagged up front.

03

Evaluate

Each site is assessed against the same criteria across eight categories, from power and land to water, environmental, and market access.

04

Score

The model screens for fatal flaws, then weights and normalizes the result to a readiness score out of 100, with a clear call: advance, watch, or pass.

05

Package

The site becomes an IC-ready scorecard, brief, and diligence checklist, with the supporting evidence attached.

Who it's for

Site clarity before capital.

One framework, different jobs. Final diligence and investment decisions stay with the people responsible for them.

01

Data center developers

Rank sites against a common standard and kill weak ones before they burn diligence budget.

02

Energy developers

Package power-backed positions in a format buyers and partners can underwrite quickly.

03

Infrastructure investors

Screen more opportunities to the same bar without adding diligence headcount.

04

Landowners & owners

See how a site fits data center demand, power strategy, and transaction readiness.

05

Brokerage teams

Turn unstructured opportunities into clean, comparable packages and sharper mandate matches.

06

Strategic partners

Coordinate power, land, equipment, and services around sites that have already cleared screening.

FAQ

Questions, answered.

What DataShark does, who uses it, and how early access works.

What does DataShark do?

DataShark screens energy and data center sites before you spend diligence budget on them. It takes the scattered inputs of early evaluation, decks, PDFs, maps, studies, and notes, and turns them into a structured intake, a weighted readiness score, pass or fail flags, and a decision-ready brief you can act on or hand to a partner.

Who uses it?

Data center and energy developers, infrastructure investors, landowners, and brokerage teams. Anyone who has to decide which sites are worth pursuing and wants every opportunity measured against the same standard.

What does it cover?

Utility-scale and large-load sites across solar, storage, and firm power, with data center site feasibility built in. The model scores each site across power, land, water, environmental, natural hazards, market access, customer fit, and community readiness.

How does the scoring work?

Every site runs through the same weighted model and the same pass or fail gates, so results are comparable across sites and markets. A score of 84 means the same thing whether the site is in Texas or the Southeast. The output is a single readiness score backed by the category profile and the evidence behind it.

Does it replace my own diligence?

No. DataShark decides what is worth diligence, not what closes. It screens early, flags what still needs confirming, and packages the result. Final diligence and investment decisions stay with the people responsible for them.

Is my information kept confidential?

Yes. The sites and project data you load stay confidential and secure. DataShark is built to help you evaluate opportunities, not to expose them.

How do I get access?

DataShark is opening to a small founding group ahead of launch. Submitting a letter of intent reserves your place and locks in founding early-access terms. It is non-binding and commits you to nothing today. Founding terms are shared during onboarding.

Pre-launch · Letter of intent

Get early access before launch.

We are opening DataShark to a small founding group ahead of launch. Submitting a letter of intent reserves your place, locks in founding early-access terms, and gives you a hand in shaping the product as it rolls out. It is non-binding, takes a few minutes, and commits you to nothing today.

Request early access
Non-binding · no payment · no obligation