What decision are you making?
Each entrance opens a precomputed scene with a real ranked answer and evidence manifest.
Where to build or site a facility
Industrial zoning, road access, utility reach, flood exposure, and workforce proximity — ranked by composite score.
Best location for a business
Foot traffic proximity, competition density, accessibility, and demographic fit — shortlisted before you sign a lease.
Least-hazard site selection
Seismic, flood, and environmental exposure layered against infrastructure readiness and emergency access.
Where to live or invest
Commute times, everyday amenity reachability, and natural hazard exposure — not neighborhood labels.
Which areas are changing fastest
Building intensity, development momentum, and population reachability shifts — revealed across a region.
Ask your own question
Browse five precomputed scenes or connect to the API and run a decision against your own area of interest.
geog.ai investigates
the map for you.
Traditional GIS gives you layers to interpret. geog.ai gives you a decision to interrogate. It makes the assumptions visible, grades the evidence, and tells you when the answer is only screening-grade.
Ask in plain language
Describe the decision, the place, and what matters. No layer choreography or specialist syntax. The engine decomposes the question into spatial capabilities.
The map is investigated
Fit-for-purpose sources are selected, deterministic spatial tools run, and every result is scored and tagged with its trust level and provenance.
Get a ranked, graded answer
Compare candidates by composite score. Open the explanation behind every recommendation. See which evidence categories were available, missing, or commercial-only.
Sample result summary
SCREENING_GRADE · 13 categories checkedFour things you can do
that a map cannot.
Rank locations
Every candidate gets a composite score built from deterministic spatial tools — not heuristics or opaque model weights.
See the evidence
Road connectivity is observational. Terrain is authoritative. Derived signals are labelled as derived. Each distinction travels with the answer.
Ask why
Open any candidate and read the plain-language explanation of why it scored as it did — what helped, what hurt, what was missing.
Know what is missing
Gaps are surfaced, not hidden. A missing parcel layer, stale imagery, or a commercial-only source is part of the answer, not a footnote.
Honest about what
the map cannot know.
Every result carries a readiness grade, evidence manifest, and provenance chain. Available, derived, commercial-only, or missing: the status is part of the answer.
Evidence, not confidence theater
Road connectivity is observational. Terrain is authoritative. Built-environment signals are derived. A parcel ownership layer may require a commercial provider. geog.ai keeps those distinctions intact.
What the grades mean
DECISION_GRADE supports a decision at scope. WITH_CAVEAT carries a material limitation. SCREENING_GRADE is a shortlist, not a site visit. INSUFFICIENT says stop.
Read the evidence modelStop showing stakeholders a map.
Start showing them why.
Site-selection analysts, developers, and operators can move from "what am I looking at?" to "what should we do next?"
Run your first decisionRead the docsYour agent already knows how to reason.
Give it geography.
Geog.ai is the spatial intelligence layer your agent is missing. It can UNDERSTAND a question, INVESTIGATE the world, SIMULATE what could happen, OPTIMIZE the decision, and MONITOR the place after it acts.
Find a resilient site for a distribution center near Memphis: low flood exposure, strong terrain, nearby network access, and a viable evacuation route.
Recommend Southaven logistics corridor
Best balance of terrain stability, flood resilience, network reach, and emergency access. Two alternatives remain visible with caveats.
5 tool results · 4 evidence families · 1 async simulation completed
trust_level: observational + authoritative · freshness attached
Give the agent a world it can test.
Telecom agents can find the minimum tower configuration for 95% coverage. Industrial-safety agents can model a release and identify affected facilities. Emergency planners can simulate evacuation and expose bottlenecks. Drone agents can maximize viewshed; IoT agents can balance coverage, redundancy, and connectivity.
Decisions & Ranking
Submit an objective. Receive ranked candidates with scored evidence, readiness grades, and plain-language explanations your agent can act on.
Networks & Movement
Shortest routes, evacuation corridors, influence spread, trajectory dwell analysis, and graph queries over spatial networks.
Simulation
Flood, fire spread, plume dispersion, RF coverage, noise, thermal, traffic, and evacuation — 30+ engines accessible as single API calls.
Earth Observation
Satellite change detection, NDVI/NDBI trajectories, spectral analysis, and calibration cycles over any AOI.
Spatial Watches
Register a condition. Get notified when it triggers — flood zone intrusion, development momentum shift, coverage gap emergence.
Evidence & Provenance
Every result carries trust level, freshness, and data lineage. Agents can check evidence adequacy before committing to a conclusion.
"Find three candidate sites for a distribution center near Memphis with rail access and low flood risk."
Selects evidence sources, acquires terrain, flood zones, transport networks, and parcel data. Runs placement optimization.
Ranked candidates with scores, evidence manifest, readiness grade, and the provenance chain behind every claim.