Site screening and underwriting for energy and digital infrastructure
Site screening and underwriting for energy and digital infrastructure
Purpose-built intelligence for digital infrastructure
Datashark helps teams evaluate land, power, infrastructure, and development risk before committing serious time or capital.
Built to turn fragmented site diligence into a faster, clearer, and more repeatable decision-making workflow.
Why now
Power, water, land, fiber, permitting, and timing now determine whether a site is real — or dead on arrival.
As capital flows increase and infrastructure constraints tighten, a standardized underwriting workflow becomes critical.
The problem
The raw material exists. The decision system usually does not.
Critical facts live across broker teasers, GIS maps, utility notes, environmental reports, and internal spreadsheets — with no unified structure.
Power, water, land, or permitting issues are often surfaced after time and money have already been spent on diligence.
Each opportunity is evaluated differently, making portfolio comparisons inconsistent and subjective.
Investment committees and buyers receive summaries — not structured, underwriting-grade outputs.
The solution
Not a generic summarizer. A structured underwriting workflow for digital infrastructure.
Teasers, maps, reports, utility notes, and worksheets enter one workflow.
Core project fields are standardized and gaps are surfaced immediately.
The platform assesses the site against infrastructure-specific criteria.
A 200-point framework drives disposition, prioritization, and buyer fit.
Outputs become IC-ready and market-ready rather than ad hoc.
Data Shark applies a repeatable underwriting logic and flags missing evidence so the same framework can be reused across opportunities.
Live demo preview
Built for investors, developers, and partners who need a faster way to screen opportunities, surface missing evidence, and package cleaner decisions.
Large-scale ERCOT opportunity with strong land position, attractive power context, workable water narrative, and enough infrastructure support to advance into focused diligence and buyer-facing packaging.
Scoring engine
The model reflects how real infrastructure buyers evaluate risk, scalability, and marketability.
The underwriting logic is already defined in the internal scoring workbook and maps directly to customer-type recommendations.
Data Shark gives more scoring power to the infrastructure constraints that actually decide whether a site survives underwriting.
The result is a scoring model that is reusable across opportunities, easier to audit, and more useful for portfolio comparison than ad hoc deal-by-deal judgment.
Customer value
The value is speed with discipline, not speed without judgment.
Single-user or analyst workflows for site screening and package generation.
Shared templates, common scoring standards, and repeatable internal review flows.
Portfolio-wide underwriting standards, collaboration, and operating discipline.
Services remain limited to onboarding and setup support, keeping the business aligned around recurring software rather than project-by-project report work.
Proof of output
Illustrative internal package based on the Houston County, Texas opportunity summary.
Large-scale site with expansion upside under discussion, adjacent substation access, nearby transmission and distribution infrastructure, workable water narrative, and fiber optionality that supports further diligence.
Collect fragmented diligence into one structured operating file.
Turn raw facts into consistent site-underwriting criteria.
Push the opportunity through a fixed decision model rather than subjective ad hoc review.
Produce a cleaner opportunity brief for internal and external conversations.
Instead of a loose collection of reports and notes, the opportunity becomes a repeatable underwriting file, a scored matrix, and a cleaner decision-ready brief.
Business model
The long-term value is in standardizing a workflow across teams and portfolios.
Single-user or analyst workflows for opportunity screening and package generation.
Shared templates, common scoring standards, and repeatable internal review flows.
Portfolio-wide underwriting standards, role-based collaboration, and internal operating discipline.
Refine the product against live opportunity work.
Prove repeatability with outside investors and developers.
Convert point use into team subscriptions.
Embed across pipelines, committees, and portfolios.
Why Data Shark wins
Today’s workflow is split across consultants, spreadsheets, and generic tools. Data Shark consolidates it into a single underwriting system.
The opportunity
Data Shark standardizes how opportunities are evaluated, compared, and packaged across teams and portfolios.
Seed capital to build product, data integrations, and early customer base.
Scoring engine, workflow system, and packaging layer already defined.
Internal workflows → design partners → recurring accounts → enterprise expansion.
Contact
Whether you're screening opportunities or packaging sites, we’ll show you how Data Shark fits into your workflow and where it creates leverage.