Local access network is present
Mapped local roads and walking features provide a basis for access review.
Source: MAP-1 · Moderate confidenceEVIDENCE-LED LOCATION INTELLIGENCE
Banyan Housing brings location data, professional review, scenario testing, and evidence-grounded AI into one clear workspace.
Mapped local roads and walking features provide a basis for access review.
Source: MAP-1 · Moderate confidenceNo measured turning counts or repeated peak-period observations are available.
Next: collect traffic countsDesigned for clear decisions across
ONE CONNECTED PLATFORM
Each module preserves the difference between collected evidence, professional interpretation, assumptions, and unknowns.
Resolve an address, define a study radius, inspect the map, and collect provider evidence in a guided workflow.
Open analysis workspace →See provider, status, resolution, quality, coverage, suitable uses, and unsuitable uses for every record.
Organize supported observations, cautions, unknowns, confidence, and next actions without arbitrary composite scores.
Ask questions against the saved review. Responses cite evidence IDs and preserve missing information instead of filling gaps.
Keep modeled assumptions separate from real-world evidence while screening low, base, and high cases.
Add local traffic, parcel, or housing CSV evidence when public providers do not offer enough detail.
THE BANYAN STANDARD
A polished answer is not useful when its source, scale, age, or limitations are hidden. Banyan keeps those details attached to every conclusion.
See the method in the workspace →HOW IT WORKS
Enter an address and select the area that matters to your project.
The platform gathers mapped context and available provider data before analysis begins.
Understand what each source supports—and what it cannot prove.
Explore next actions and modeled scenarios without mixing assumptions into observed evidence.
BANYAN HOUSING
Start with an address. Leave with a structured evidence record, a professional review, and a clearer next step.