Interactive Product Demo

See how Data Shark scores, flags, and packages sites

This guided demo shows how fragmented site inputs are converted into a structured underwriting output with scoring, evidence gaps, and packaging-ready decision support.

Jump to Demo Request Walkthrough
26 subjects
200-point model
Decision-grade output
Structured underwriting workflow
What the demo shows
1
Sample project inputs

Market, acreage, power, water, fiber, and environmental context.

2
Underwriting result

Score, normalized score, disposition, and likely buyer fit.

3
Evidence and packaging

Missing flags, category snapshot, and output-ready work products.

Built for real underwriting workflows

Structured scoring. Clear outputs. Cleaner decisions.

26
Subjects scored across the underwriting model
200
Total points driving disposition and buyer fit
5-Step
Workflow from ingest to packaging-ready output
IC-Ready
Decision-grade outputs for internal and external use
Data Shark Interactive Demo

Underwriting Engine Preview

This investor-facing preview shows how Data Shark converts fragmented site data into a structured underwriting output with scoring, missing evidence flags, and packaging-ready decision support.
v1

Choose Sample Project

Select one of the sample opportunities below and render a static underwriting result. This version is presentation-safe and designed for meetings, pitches, and investor walkthroughs.

What you're seeing

A guided view of how Data Shark turns raw site information into a usable decision

The demo is designed to show the structure behind the product: weighted scoring, surfaced evidence gaps, and packaging-ready outputs that help teams move faster with more discipline.

01

Score + disposition

Each sample project is translated into a weighted underwriting result that produces an overall score, a normalized score, and a clear disposition band.

  • Reflects a structured 200-point framework
  • Normalizes complexity into a quick decision signal
  • Helps compare opportunities more consistently
02

Missing evidence flags

The product does not just summarize strengths. It surfaces what still needs to be validated before conviction is built.

  • Shows where diligence is still incomplete
  • Prevents weak assumptions from getting hidden
  • Makes the output feel operational, not promotional
03

Packaging-ready output

The result is not just a score. It becomes a cleaner project record, a scored matrix, and a brief that can support internal review or external conversations.

  • Supports cleaner IC and buyer conversations
  • Improves portfolio-level comparability
  • Turns fragmented inputs into reusable work products

Who it's for

One underwriting system.
Two critical use cases.

Data Shark helps investors screen faster and helps developers package better — using the same structured decision framework.

For investors

Screen more opportunities without expanding diligence linearly

Use Data Shark to apply a common scoring standard across sites, markets, and counterparties so capital gets focused where conviction is strongest.

  • Compare opportunities more consistently across a pipeline
  • Focus third-party diligence spend on stronger candidates
  • Improve IC readiness with clearer, evidence-aware outputs
  • Reject weaker opportunities earlier before time and fees compound
For developers

Package cleaner sites before going to buyers, funds, and partners

Use Data Shark to tighten the site story, surface weaknesses early, and create materials that are easier to market and easier to diligence.

  • Spot weak points before the process drags on
  • Match sites to the buyer profile that actually fits the asset
  • Create more consistent briefs for outreach and diligence
  • Turn fragmented materials into a cleaner underwriting package

Contact

Let’s talk about your pipeline,
underwriting, or deal flow

Whether you're screening opportunities or packaging sites, we’ll show you how Data Shark fits into your workflow and where it creates leverage.

Availability Demos available weekly