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Enterprise spatial data infrastructure

Model the business case with visible assumptions.

Estimate avoided remobilization, manual conversion overhead, and time-to-dataset improvement by buyer segment before you approve a capture program.

Segment assumption packs

Start from presets for world-model, robotics, autonomy, industrial, infrastructure, and restricted-environment work.

Formula visible

Every value in the model is editable and every output stays tied to a simple planning formula.

No fake precision

This is a planning tool for scoping and procurement, not a contractual savings claim.

Avoid remobilization
Reduce manual conversion
Compress time-to-dataset
Quantify procurement value

Segment assumptions

Choose the closest planning baseline.

Assumes frequent environment refresh and high internal value on faster usable datasets.

This model is for planning and procurement discussion. It does not estimate model quality, revenue, or a guaranteed customer outcome.

Modeled value

See the annualized planning value.

$1,385,280

Annualized planning value from avoided remobilization, reduced manual conversion, and faster time-to-dataset for world model labs.

Formula: `(captures x field cost x rework rate) + (captures x manual hours x hourly rate) + (captures x days-to-dataset x planning value per day)`, annualized for planning only.

Avoided rework

$207,360

Conversion savings

$532,800

Time-to-dataset value

$645,120