Pick a sample opportunity and render a structured underwriting result: a readiness score, a clear disposition, the category profile, the evidence still to confirm, and packaging-ready outputs. Presentation-safe, with no proprietary detail exposed.
The output is built to be read in seconds and defended in detail. Here is what each part of the result means.
Disposition turns the score into action. The bands are consistent across the pipeline, so teams triage the same way every time.
Clears the fatal-flaw screen and scores strongly across the categories that decide feasibility. Worth diligence spend and a path to a buyer conversation.
Viable, but carrying open items or a category that needs work. Worth tracking and revisiting as evidence is confirmed, not yet worth full diligence.
Fails the screen or falls below the threshold on a category that decides the outcome. Documented and set aside, so time and fees are not spent on it.
Every site is scored across the same categories, weighted by how much each one bears on feasibility, with the evidence behind each score on record.
The demo shows the last step. Behind it, every site moves through the same path, so the output is consistent and comparable.
Teasers, maps, utility notes, and reports come into one workflow, in whatever format they arrive.
Core project fields are standardized, and any missing evidence is flagged up front.
Each site is assessed against the same criteria across the eight categories.
The model screens for fatal flaws, then weights and normalizes to a readiness score.
The result becomes a scorecard, brief, and diligence checklist, with evidence attached.
We are opening DataShark to a small founding group ahead of launch. The letter of intent is non-binding and takes a few minutes.
Request early access