FourthSpace LAB
Diabetes screening campaign · Metro District01 / 03
The problem

Stan has two weeks.
Planning takes eight.

Stan is a project planner who needs to deploy a diabetes screening campaign across a large region. Every campaign starts the same way: public datasets, GIS maps, Excel spreadsheets and a list of existing contacts.

S
StanProject planner, regional health
GISExcelPhone
Planning a screening campaign today
Day 0 of 56
W1W2W3W4W5W6W7W8
Launch deadline
0Public datasets wrangled
0Spreadsheet versions
0Emails and calls
0Sites confirmed
FourthSpace

The Space‑Time data layer for physical AI.

FourthSpace gives AI agents a shared understanding of where and when. Questions about people, places and services come back with local evidence.

Health Public services Logistics
Agent reasoning in space & time
How Stan plans with FourthSpace Lab
  1. 1

    Create a new campaign

    Diabetes screening, set up in the platform in minutes.

  2. 2

    Define the region and deployment period

    Metro District, Area 502. A two-week deployment window.

  3. 3

    Select the datasets that matter

    Population demographicsObesity prevalenceHealthcare POIsTravel times
  4. 4

    Ask in natural language

    Through Palantir AI FDE on Foundry. The FourthSpace engine guides each request so agents reason in space and time.

  5. A shortlist of exact locations, in a day

    Where and when to reach at-risk communities, with the local evidence behind every choice.

Save time8 weeks 1 day

A shortlist of exact locations in one day.

Reduce stepsData → decision

From fragmented datasets to actionable choices, faster.

Find new groundWhere + when

Spot untapped sites beyond existing locations and contacts.

lab.the4.space/campaigns/diabetes-screening-502
FourthSpace
Campaigns / Diabetes screening · Metro District
Foundry connectedAI FDE
S

What are we planning today, Stan?

Set the goal, list what you need. FourthSpace reasons across space and time.

Collect
    Metro District · 502 4 datasets FourthSpace engine
    Where is weekday footfall highest?Find pharmacy coverage gapsCompare clinic hours to demand