Land is one of the largest and most fragmented asset classes in the country, and yet, for a long time, it has also been one of the hardest to research properly. Ownership records live in county offices. Zoning rules change from one township to the next. Comparable sales data is often locked away in non-disclosure states, hidden behind paywalls, or simply out of date by the time anyone finds it. For appraisers, brokers, developers, lenders, and investors, this meant hours of manual work just to answer a simple question: what is this piece of land actually worth, and who controls it?
That is the gap the AI land intelligence platform was built to close. Acres set out to centralize the scattered world of land data - parcel records, sales history, zoning, risk layers, and ownership - into a single, searchable system. What used to take a team of researchers days to compile can now be pulled up on a map in minutes.
The Problem Acres Solves
Before platforms like Acres existed, land research looked something like this: pull assessor records from a county website, cross-reference them against a separate GIS portal, manually search for comparable sales in local newspapers or courthouse filings, then build a spreadsheet to make sense of it all. Every state, and often every county within a state, had its own systems, formats, and quirks. Non-disclosure states made the problem worse, since actual sale prices were never publicly recorded at all.
This patchwork approach created two major issues. First, it was slow. Teams could lose days or weeks just assembling data before they could even begin analysis. Second, it was unreliable. Manual research is prone to human error, outdated records, and blind spots, especially when trying to track land transactions or ownership changes across multiple states at once.
Acres approaches this differently by building a unified national database that pulls from more than 1,000 data sources, covering upward of 150 million parcel records and 45 million land transactions. Instead of researchers hunting for information one county at a time, the platform brings everything into one interactive map and search environment.
What Makes Acres Different
At its core, Acres is built around a few key capabilities that work together rather than as isolated tools.
Parcel-level insights. Every parcel in the system can be explored in a single panel that includes zoning, ownership history, mortgage records, and risk data such as flood zones. Instead of toggling between five different websites to understand a property, users get a consolidated view instantly.
Nationwide sales data. The platform tracks comparable land sales across the country, including in states where that information is traditionally difficult or impossible to access publicly. This is especially valuable for agricultural land appraisers and rural property investors, who have historically struggled to find reliable comps.
Mapping and site planning tools. Users can draw custom boundaries, overlay their own imagery, and generate lot yield calculations to understand what a piece of land could become. This is useful not just for research but for actual planning work, such as estimating buildable acreage or road length for a proposed development.
AI-powered analysis. Rather than requiring users to manually connect the dots between an owner, their mortgages, and their other properties, Acres uses AI to surface those relationships automatically. This turns what used to be detective work into a search query.
Layer library. With more than 12,000 map layers covering everything from demographics to infrastructure to lidar topography, users can customize exactly what data they want to see layered on top of a parcel or region.
Taken together, these tools give individual users, whether they are brokers, appraisers, farmland investors, or independent landowners, a level of visibility that once required an entire research team and access to expensive, fragmented data subscriptions.
Built for Teams: The Enterprise Side of Acres
Individual research tools solve one problem, but larger organizations face a different challenge entirely: coordination. When multiple people across different departments, regions, or divisions are all evaluating land opportunities, the risk of duplicated work, inconsistent data, and siloed knowledge grows quickly. This is where the land acquisition software for enterprise teams comes in.
The enterprise version of Acres builds on the same underlying data engine but adds a layer of collaboration and scale designed specifically for organizations rather than individuals.
Shared portfolios. Teams can organize deals in a centralized dashboard with custom columns, tags, and comments, so everyone from acquisitions to legal to finance is working off the same information instead of separate spreadsheets that quickly fall out of sync.
Targeted lead list building. Enterprise accounts can generate prospecting lists based on owner name, mailing address, zoning code, or a custom-drawn boundary. New accounts come with 10,000 leads included, giving business development and acquisition teams a fast way to identify opportunities in a given market.
Mortgage and lien data at scale. With access to more than 25 million mortgage records, enterprise users can search by borrower or lender, filter by maturity date or loan amount, and identify maturing loans within a specific market. This is particularly useful for lenders and investors looking to find refinancing opportunities or distressed situations before competitors do.
Custom, branded reporting. Instead of manually formatting valuation reports, enterprise teams can export branded PDF or Excel reports directly from the platform, cutting down the time between research and a client-ready deliverable.
White-glove onboarding and support. Acres backs its enterprise plan with U.S.-based support and hands-on onboarding, recognizing that adopting a new data platform across an entire organization requires more than just software. It requires a partner who understands how the team actually works.
Homebuilders, land developers, energy companies, financial institutions, and real estate brokerages all use this enterprise layer to bring consistency to how their teams source, evaluate, and act on land opportunities, rather than leaving each department to reinvent its own process.
Who Uses Acres
The platform's flexibility means it serves a wide range of industries, each with slightly different needs.
Homebuilders and developers use Acres to identify buildable land, estimate lot yield, and track competitive activity in growth markets.
Energy companies rely on parcel and ownership data to evaluate sites for infrastructure projects.
Lenders and financial institutions use mortgage and lien records to assess risk and find lending opportunities.
Real estate brokers and agents use comparable sales data to support pricing conversations and marketing materials for clients.
Appraisers, particularly in agricultural markets, depend on nationwide sales data to support valuations, even in regions where sale prices are not publicly disclosed.
Retail and commercial real estate teams use demographic and infrastructure layers to evaluate potential locations.
This breadth is part of why Acres has been adopted by well-known names across homebuilding, real estate services, and lending, according to information published on the platform's own site.
How Acres Fits Into a Land Team's Workflow
For most land professionals, the research process follows a familiar pattern: identify a general area of interest, narrow it down to specific parcels, verify ownership and legal status, compare it against recent sales, assess risk factors, and finally build a case for or against moving forward. Historically, each of these steps required a different tool, source, or even a different vendor relationship.
Acres compresses this workflow into a single continuous process. A user can start by browsing a map layer to spot growth signals in a region, click into a specific parcel to see full ownership and mortgage history, pull relevant comparable sales instantly, check flood or zoning risk without leaving the page, and then export a branded report to share with stakeholders, all within the same session. For enterprise teams, that same parcel can then be tagged, commented on, and shared with colleagues in other departments without anyone needing to re-explain the context from scratch.
This kind of workflow consolidation is often what separates a platform that gets used occasionally from one that becomes part of a team's daily process. When the friction of switching between tools disappears, teams tend to do more research, catch more risks, and move faster on the opportunities that matter.
Why It Matters
Land decisions carry significant financial weight. According to Acres, its platform supports more than 40 billion dollars in land decisions made annually. That number reflects just how much is riding on having accurate, current, and complete information before a deal is signed. A missed zoning restriction, an outdated comparable sale, or an unclear ownership record can turn a promising opportunity into a costly mistake.
By consolidating land data into one platform and layering AI-driven analysis on top of it, Acres is trying to remove much of the guesswork that has traditionally defined land research. For individuals, this means faster, more confident decisions without needing a team of researchers. For enterprises, it means a shared source of truth that keeps every department, from acquisitions to finance, aligned around the same data.
Final Thoughts
Land has always been valuable, but until recently, the information needed to understand it fully was scattered, inconsistent, and hard to access. Acres was built to change that dynamic by turning land research into a searchable, data-backed process rather than a manual scavenger hunt.
Whether the goal is finding a single parcel's history as an individual investor, or standardizing how an entire acquisition team sources and evaluates opportunities at scale, Acres positions itself as the connective layer between fragmented public records and confident, data-driven land decisions.
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