Aino is a site analysis platform for real estate and urban planning professionals. Type any address — Aino pulls zoning, demographics, competition, and market data from 10+ verified sources and turns it into a structured go/no-go report. What used to take an analyst 3 days takes Aino 15 minutes.

Most acquisition teams are still piecing together feasibility from four different tools, county zoning maps, and a spreadsheet. By the time the analysis is ready, the site is gone — or worse, you're already in due diligence on a deal that should have been killed on day one. Aino gives you a complete site picture in minutes, before you spend a dollar on surveys or legal fees.

Yes — and this is one of the strongest use cases. Beyond go/no-go screening, Aino gives you the data layer needed for early-stage development decisions: zoning classification and overlay restrictions, infrastructure capacity and utility access, terrain and buildable area constraints, demographic demand analysis, and competitive supply mapping. Teams use Aino reports as the analytical foundation for pre-application meetings, feasibility memos, and investment committee submissions — before engaging architects or engineers.

Aino is used by acquisition analysts, development teams, investment funds, and urban planners. If your work involves evaluating locations — whether you're screening 5 sites a month or 500 — Aino is built for your workflow. No GIS background required. No data engineering. Just an address and a decision to make.

No. Aino is designed for users of all backgrounds. You can analyze a single location or an entire portfolio without any data engineering skills. If you can type an address, you can run a full site analysis.

Export reports as PDFs, maps as PNG or JPG, and raw data as CSV or JSON. You can also generate a shareable link to an interactive dashboard — useful for presenting to stakeholders, investors, or your investment committee without any reformatting.

Aino is a location intelligence platform for commercial real estate, specifically built for pre-development site analysis and acquisition screening. It sits at the intersection of GIS software, AI analysis, and real estate due diligence tooling — without requiring expertise in any of them. If you've used ArcGIS, CoStar, or Regrid before, Aino replaces the manual layer between those tools and a decision.

Aino isn't a data provider — it's an analysis layer that sits on top of multiple sources including Google Maps, Regrid, Rentcast, US Census, and OpenStreetMap. Where CoStar gives you data and ArcGIS gives you maps, Aino gives you a decision: zoning summary, red flags, infrastructure status, and a go/no-go verdict — in one report, in under 15 minutes. Most teams use Aino instead of stitching together three or four subscriptions manually.

Aino is used across commercial acquisition screening, retail site selection, multifamily development feasibility, industrial land analysis, and mixed-use pre-development studies. Common users include acquisition analysts at investment funds, development managers at real estate operators, site selectors at retail chains, and urban planners at municipal agencies — across 400+ cities in the US and globally.

General AI models like ChatGPT don't have access to real spatial data — they can't pull live zoning classifications, parcel boundaries, rent comps, or infrastructure status for a specific address. Aino is purpose-built for location analysis: it connects to live datasets from Google Maps, Regrid, and government sources, runs spatial logic on real geographic boundaries, and outputs structured reports you can take to an investment committee. A general AI gives you text. Aino gives you a decision.

You can ask ChatGPT about a neighborhood — but it can't tell you the actual zoning classification of a specific parcel, the real rent comps from last month, or whether utility capacity supports your development. It works from training data, not live sources. For a quick definition or concept, yes. For a site analysis you'd stake $2M on, no. Aino runs on the same live datasets your analyst would manually pull — just in 15 minutes instead of three days.

Yes — Aino offers 5 free site analyses with no credit card required. Each analysis pulls live data from Google Maps, US Census, Regrid, and OpenStreetMap and generates a full go/no-go report with zoning, demographics, infrastructure, and competition. If you're currently doing this manually in spreadsheets or asking a general AI tool, the difference is immediate.

Because they operate at a different level of the deal. Financial assumptions — rents, yields, vacancy — describe how well a project performs. Location assumptions determine the ceiling those numbers can ever reach. A wrong capex estimate can be fixed with refinancing. A wrong location thesis is embedded in the asset for the entire hold period. Most analysts collapse location into a single label: "prime / secondary / tertiary." Aino breaks it into three levels — macro (city fundamentals), micro (submarket dynamics), and site-specific (parcel constraints, visibility, access) — because risk lives at different levels and needs to be validated separately.