State your conditions and screen candidates by regulation, hazard, price and future population at once. Get an instant volume estimate and move decisions forward before the architect is engaged.
Sound familiar?
Examples of problems acquisition and planning teams may face.
By the time I had checked 100 sites one by one, a competitor had taken the best one.
With MAPRISE
Combine zoning, hazard, price band, future population, outside-agricultural-zone and more to narrow the whole list in one go.
Just ask the AI
“Which sites have low flood risk and growing population?”
Site screening
Site by siteFiltered by your conditions
Two weeks waiting on the architect — and no decisions in the meantime.
With MAPRISE
FAR, coverage, frontage road and height districts combine into an instant floor-area estimate, so early studies move before the architect is engaged.
Just ask the AI
“Roughly how big a building fits on this lot?”
Volume estimate
Commissioned from an architectRough estimate on the spot
What if we build where the population is shrinking and units do not sell?
With MAPRISE
Population projections crossed with housing starts reveal oversupply risk; an overall score across demographics, oversupply, natural disaster and ground conditions supports the investment case as a reference.
Just ask the AI
“Would new builds here risk oversupply?”
Risk made visible
4 risks, scored
We missed an agricultural zone and a planned road — back to square one.
With MAPRISE
Zoning, agricultural promotion areas, forests, planned roads and height districts shown together, overlaps visible at a glance.
Just ask the AI
“List every regulation that applies to this lot”
Regulation check
Each rule looked up separatelyListed on one screen
* Comparisons illustrate how the workflow changes; they are not measurements. Actual results vary by environment and usage.
Before and after
Places to check
Site by site, market studies outsourced
Regulations
Hazards
Prices & population
Includes per-site review
* Comparisons illustrate how the workflow changes; they are not measurements. Actual results vary by environment and usage.
Nothing to learn
No menus or jargon to memorise. Ask in your own words and the AI looks up the data on the map and answers — qualitative questions like "what kind of area is this?" and quantitative ones like "by what percentage did it change?" alike.
No training needed
Enter an address and say what you want to know. No manuals or training sessions.
Ask how to use it, too
Ask "how do I show flood depth on the map?" and the AI walks you through it.
Qualitative and quantitative
Get both the narrative ("what is this area like?") and the numbers (percent, people, scores), with charts.
A conversation with MAPRISE AI
Which regulations could block development here?
Part of the lot falls within a planned-road reservation, and a height district on the north side limits building height.
How will population change in 10 years?
Projections show the surrounding population growing over the next decade.
Will housing demand hold here? Why?
Young households keep moving in, so demand looks solid — but nearby housing starts are rising, so watch for oversupply.
Score the risks at this point
Four risks scored out of 10 (higher means riskier).
* The conversation illustrates the shape of the answers; figures are examples unless quoted from a real screen. AI answers are for reference only — please confirm important decisions with a specialist.
By the numbers
Land prices around Kumamoto and Kikuyo have risen up to 50% in the last five years. New development demand is spreading across Kyushu.
Source: MLIT, Land-Price Publication (2024)
Total area of designated agricultural zones held in MAPRISE (nationwide, 46 prefectures). Knowing land-use restrictions early avoids wasted research.
Source: MAFF, "Agricultural Area Classification" (estimate)
Real-estate transaction records held in MAPRISE nationwide (2005 – 2025, 21 years). Anchor area benchmarks in evidence.
Source: MLIT Real-Estate Information Library (records loaded into MAPRISE)
Breakdown: Site screening — AND filter narrows the shortlist / Regulations — all regulation layers overlaid / Volume-check estimate before engaging an architect
* The comparison illustrates how the workflow changes; it is not a measurement. Actual results vary by environment and usage.
| Scenario | Before | After (MAPRISE) |
|---|---|---|
| Site screening | Check candidate sites one by one across portals | AND filter narrows the list in one pass |
| Volume check | Engage an architect and wait for the results before deciding | See estimated FAR, BCR, and frontage-road adjustment on screen before engaging an architect |
| Regulation crosscheck | Check zoning / agricultural / forestry / planning roads separately | All regulation layers on one screen; see overlaps at a glance |
| Catchment / market analysis | Outsource market research | In-house with population projections, facilities, and comparables |
| Cross-department sharing | Paste maps into PowerPoint, print, circulate | A share URL — every department sees the same live map (planned) |
The Before / After above illustrates how the workflow can change with MAPRISE; it is not a measured result. Actual results vary by environment and usage.
| Step | MAPRISE step |
|---|---|
| 1 | Receive a 100-site candidate list (internal sales / brokers) |
| 2 | AND filter (zoning + low hazard + price band + outside-of-agriculture) narrows to 50 sites |
| 3 | Evaluate 50 sites individually: FAR, frontage road, catchment |
| 4 | Share via URL (planned) with execs / design / sales — same map, parallel review |
| 5 | Decide internal priorities → export volume-check PDF for the top picks |
| Then | Hand top picks to an architect with MAPRISE screenshots + estimates attached |
* An example of the workflow. Time required varies by property and usage.
Q. How precise is the volume check?
A. It combines zoning, BCR, FAR, and frontage-road adjustment into an estimate. Use it as input for early screening, with the architect's full check (slant-line restrictions, sunlight regulations, etc.) handling the precision phase.
Q. Can we use PLATEAU 3D data?
A. PLATEAU 3D city models (building shape and height) for 265 municipalities nationwide (approx. 23.76 million buildings) are loaded, and building height and shape can be reviewed in 3D. Building colouring is available on the Free plan too; 3D attributes such as height and floors, and the shadow / sunlight-hours calculation, need the Starter plan or above. Coverage density varies by municipality depending on each area's data-compilation status, and coverage continues to expand. The per-building seismic collapse-probability layer, however, is currently available only for 27 Kyushu municipalities (approx. 1.96 million buildings).
Q. Can we see city gas service areas too?
A. Yes. Since August 2026, based on the list of general gas pipeline operators published by the Agency for Natural Resources and Energy and each operator's wheeling (third-party access) supply terms, we show reference information on city gas service areas on the map for the Kyushu 7 prefectures (Fukuoka, Saga, Nagasaki, Kumamoto, Oita, Miyazaki, and Kagoshima). At the municipality level, you can see one of three statuses — "service area exists," "unconfirmed," or "no applicable operator" — useful as a first-pass screening signal for whether city gas infrastructure is present at a candidate site. This is municipality-level reference information; it does not indicate supply across an entire municipality or confirm whether a specific parcel can be supplied, and MAPRISE is not affiliated or partnered with any gas operator. Always confirm the detailed supply conditions for a prospective site directly with the relevant general gas pipeline operator.
Q. Can we bulk-load candidate data?
A. Yes. Import property lists from in-house systems from a CSV file in one go (Pro plan and above, up to the plan's registration limit).
Q. How is access controlled when sharing with execs / design / sales?
A. Share URLs (planned) will support read-only and edit-enabled modes. IP allow-listing is planned for the Enterprise plan.
Q. Can we track competitor activity?
A. Recent transactions + land-price moves + building-permit data (designated cities) reveal area development tempo. Tracking specific firms' specific projects is a separate scope — let's discuss.
For land sourcing in developers and homebuilders, we recommend the Business plan.
Use case: when evaluating land acquisition, gauge oversupply risk via housing-starts x demographics cross-analysis (Kyushu-only data), and pressure-test feasibility with land-price trends layering AI forecasts on 19 years of actuals (Kyushu-only data).
Free during beta — try any plan
The beta is free to try. We're happy to schedule a demo or onboarding consultation.
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