BestCRE 9AI Score
81/100 · Contender
Deepblocks ranks #71 of 200 commercial real estate AI tools scored on the 9AI Framework.
Deepblocks is a cloud-based commercial real estate software company that combines digitized zoning data, 3D massing models, and financial feasibility analysis into a single platform. Founded in 2017 and operating with approximately $4.5 million in funding, the company targets developers, investors, and municipalities looking to automate the site selection process. The platform ingests parcel-level data across more than 300 United States cities, allowing users to filter thousands of properties based on specific development criteria and instantly visualize what can be built under current local regulations. This approach significantly reduces the time required to evaluate off-market opportunities.
By merging geographic information system (GIS) mapping with back-of-the-envelope financial pro formas, Deepblocks attempts to solve one of the most time-consuming phases of commercial real estate development: preliminary acquisition research. Traditionally, determining a site’s highest and best use requires coordinating architects, zoning attorneys, and financial analysts to produce initial feasibility studies that can cost upwards of $20,000 per project. Deepblocks digitizes this early-stage workflow, enabling an analyst to draw a parcel outline on a map, select a property use type—such as multifamily, retail, industrial, or mixed-use—and immediately generate a 3D massing model alongside projected income, expenses, and construction costs. While the software does not replace the need for formal architectural plans or deep financial underwriting in platforms like ARGUS, it serves as a high-speed screening mechanism to identify viable off-market leads and underutilized parcels before committing significant capital to formal due diligence.
What Deepblocks does and how it works
Deepblocks functions primarily as a top-of-funnel site selection and feasibility engine. The core mechanic relies on a proprietary database that digitizes local zoning codes, demographic trends, and parcel boundaries. Users begin by selecting a target market and applying filters based on their investment criteria. For example, an analyst can query the system to highlight all underutilized parcels in Miami that allow for high-density residential development. The software scans the market and returns a mapped list of properties that fit the exact parameters, reducing a process that typically takes weeks of manual public record searches into a single query.
Once a target parcel or assemblage is identified, the user transitions into the platform’s Developer module. Here, the software provides a split-screen interface. On one side, the user views a satellite map where they can draw or adjust the footprint of the proposed building. As the user manipulates the footprint and selects the desired property uses, the software instantly generates a 3D massing model that adheres to the specific zoning constraints of that lot, such as maximum buildable area, setbacks, and height limits. If a user attempts to model a structure that violates local zoning, the system flags the constraints based on its digitized municipal data.
Simultaneously, the other half of the interface calculates the financial implications of the 3D model. The software generates a preliminary pro forma, estimating construction costs, operating expenses, and potential rental income based on integrated market data. As the user adjusts variables like unit mix, average square footage per unit, or projected rent per square foot, the financial metrics and the 3D model update in real time. Finally, the platform allows users to export these scenarios into presentation-ready PDF reports or CSV files for further analysis, providing a standardized format for investment committees to review multiple sites side-by-side.
9AI Framework: the score, dimension by dimension
| Dimension | Score |
|---|---|
| CRE Relevance | 10/10 |
| Data Quality and Sources | 8/10 |
| Ease of Adoption | 9/10 |
| Output Accuracy | 7/10 |
| Integration and Workflow Fit | 7/10 |
| Pricing Transparency | 9/10 |
| Support and Reliability | 7/10 |
| Innovation and Roadmap | 9/10 |
| Market Reputation | 7/10 |
| Composite 9AI Score | 81/100 |
CRE Relevance — 10/10
Deepblocks is entirely native to the commercial real estate sector, specifically engineered to address the niche workflow of development feasibility and site selection. Unlike general-purpose mapping or financial modeling tools, every feature is built around the realities of property acquisition, zoning constraints, and highest-and-best-use analysis. The platform’s architecture understands the specific terminology and mathematical relationships of real estate development, from floor area ratios and setback requirements to residual land valuation and unit mix optimization. By focusing exclusively on the intersection of municipal regulations, spatial design, and development finance, the software directly replaces manual spreadsheets and preliminary architectural consultations for early-stage deal screening. This deep industry focus ensures that the tool speaks the exact language of its target user base. In practice: Real estate developers use the platform to instantly filter thousands of parcels and generate preliminary 3D massing models that adhere to local zoning codes.
Data Quality and Sources — 8/10
The platform relies on aggregating and digitizing complex municipal zoning codes, parcel boundaries, and demographic data across more than 300 United States cities. Translating dense local zoning ordinances into structured, machine-readable rules is notoriously difficult. Deepblocks manages this by maintaining a proprietary database that standardizes these regulations to power its automated 3D modeling. While the company claims high accuracy, zoning laws are subject to frequent amendments and localized interpretations that algorithms cannot perfectly capture. Users must treat the platform’s constraints as educated baseline assumptions rather than legally binding architectural guarantees. The financial data inputs, such as construction costs and market rents, rely on broader market averages that require manual adjustment by the user to reflect hyper-local realities. In practice: Analysts rely on the software for directional accuracy during initial site screening but must verify final zoning parameters with local counsel before closing a deal.
Ease of Adoption — 9/10
Deepblocks operates as a cloud-based software-as-a-service application, requiring no complex on-premises installation. The user interface is highly visual, combining a familiar GIS map layout with straightforward input fields for financial assumptions. For commercial real estate professionals accustomed to navigating clunky municipal zoning websites and disconnected Excel models, the unified dashboard presents a manageable learning curve. The entry-level Developer tier allows individuals to start modeling immediately without waiting for lengthy enterprise onboarding processes. The platform provides adequate tutorial videos and documentation to guide users through drawing parcels and adjusting unit mixes. Fully maximizing the tool requires a solid foundational understanding of development finance and zoning principles, as the software assumes the user knows how to interpret the outputs. In practice: A junior acquisitions analyst can learn to generate basic 3D massing models and preliminary pro formas within their first few days of using the software.
Output Accuracy — 7/10
The accuracy of Deepblocks’ output depends heavily on the user’s financial assumptions and the specific municipality’s digitized zoning data. The platform excels at preliminary math, rapidly calculating residual land value, return on cost, and maximum buildable square footage based on the provided inputs. The 3D massing models accurately reflect the geometric constraints dictated by the digitized zoning codes, providing a reliable visual representation of a site’s physical capacity. However, these models are conceptual blocks rather than detailed architectural designs. The financial projections are mathematically sound but serve as preliminary feasibility indicators rather than final underwriting documents. Users should not expect the granularity of an ARGUS cash flow model, as Deepblocks is designed for speed and volume rather than deep, multi-tier waterfall calculations. In practice: Investment teams use the generated reports to quickly disqualify unviable deals, reserving deep underwriting efforts for the few sites that pass the initial test.
Integration and Workflow Fit — 7/10
Deepblocks functions primarily as a standalone destination platform rather than a deeply integrated middleware component. The software does not natively sync with major commercial real estate enterprise resource planning systems or advanced underwriting platforms out of the box. Users typically export their findings as presentation-ready PDF reports or raw CSV files to be manually imported into internal Excel templates. While the company states that custom API integrations are available upon request—allowing enterprise clients to connect zoning data directly into their proprietary systems—these require custom development work and are not standard plug-and-play features. The tool’s isolation is acceptable given its role at the very beginning of the deal lifecycle, but it creates a data silo between initial feasibility and final underwriting. In practice: Analysts perform their initial site screening within Deepblocks and manually transfer the winning financial assumptions into their firm’s proprietary Excel models for final approval.
Pricing Transparency — 9/10
As of August 2026, Deepblocks demonstrates a strong commitment to pricing transparency, a rarity in the commercial real estate technology sector. The company publicly lists its entry-level Developer tier starting at $18 per month, which provides access to the core 3D modeling and financial projection tools. For larger firms requiring market-wide scanning, zoning analysis, and demographic data, the Pro tier is priced at approximately $2,000 per month. Enterprise pricing for custom API integrations and dedicated support is available upon request and scales based on the complexity of the deployment. By publishing clear baseline costs, Deepblocks allows independent analysts and small development shops to evaluate the software’s return on investment without enduring a mandatory sales qualification process. This transparent approach lowers the barrier to entry for smaller market participants. In practice: A boutique development firm can accurately budget for the software using the published tiers before ever speaking to a sales representative.
Support and Reliability — 7/10
As a Tier 2 startup founded in 2017 with a relatively small team, Deepblocks provides standard support infrastructure without the massive account management resources of legacy software providers. Users have access to a dedicated support form, embedded chat features for troubleshooting, and a library of video tutorials detailing specific platform functions like 3D modeling and parcel drawing. While the company has secured partnerships with notable firms like Christie’s International Real Estate Group, its smaller headcount means enterprise clients should not expect round-the-clock, dedicated technical account managers. Platform reliability is generally stable for a cloud application, though rendering complex 3D models across large assemblages can occasionally test browser performance. The company’s ongoing funding and consistent product updates suggest a stable operational foundation. In practice: Users rely heavily on the self-serve tutorial library and in-app chat to resolve modeling issues during standard business hours.
Innovation and Roadmap — 9/10
Deepblocks maintains an aggressive development trajectory focused on integrating artificial intelligence deeper into the site selection process. The company is actively expanding its coverage to include more municipalities, systematically digitizing complex zoning codes across the country. Recent roadmap initiatives include the introduction of ChatDB, an AI agent interface designed to allow users to query demographic and economic data using natural language commands. The firm is also developing automated workflows that can monitor markets for specific development criteria and automatically generate feasibility studies when a matching parcel hits the market. This shift from a passive modeling tool to a proactive, agentic deal-sourcing engine demonstrates a clear vision for the future of commercial real estate acquisition research. In practice: Forward-looking investment teams monitor the platform’s updates to utilize new AI agents that automate the tedious process of tracking municipal zoning changes and demographic shifts.
Market Reputation — 7/10
Deepblocks has carved out a strong reputation within a specific niche of the commercial real estate technology landscape. With approximately $4.5 million in funding and a user base that spans from independent architects to institutional players like the Rockefeller Group, the platform is recognized as a legitimate tool for early-stage feasibility analysis. The company is positioned as a thought leader in the intersection of artificial intelligence and urban development. However, as a Tier 2 provider, it does not possess the ubiquitous industry penetration of legacy data providers like CoStar or financial modeling standards like ARGUS. It is highly regarded by its core demographic of tech-forward developers and site acquisition teams but remains relatively unknown among traditional property managers or purely debt-focused institutions. In practice: Development teams view the software as a specialized competitive advantage for sourcing off-market deals faster than their technologically slower peers.
Who should use Deepblocks
Deepblocks is highly specialized and delivers the highest return on investment for professionals focused on the earliest stages of the real estate lifecycle.
- Acquisition Analysts at Development Firms: Teams tasked with sourcing and screening off-market land or underutilized properties can use the platform to filter thousands of parcels in minutes.
- Independent Real Estate Developers: Smaller developers who cannot afford to hire an architect for every preliminary feasibility study can generate their own 3D massing and financial models.
- Commercial Real Estate Brokers: Land brokers looking to market a parcel’s potential can use the software to create visual pitch decks showing exactly what a buyer could build on the site.
- Urban Planners and Municipalities: City officials analyzing the potential impact of zoning changes on housing density and neighborhood development capacity.
Who should look elsewhere
Firms operating outside of ground-up development or significant value-add repositioning will find limited utility in the platform’s core features.
- Property Managers: Professionals focused on the day-to-day operations, tenant relations, and maintenance of existing stabilized assets do not need zoning and massing tools.
- Core-Plus Investors: Funds acquiring fully stabilized, newly constructed assets with no intention of altering the physical footprint will not benefit from development feasibility software.
- Commercial Mortgage Brokers: Debt professionals focused purely on refinancing existing structures using historical cash flows require deep financial underwriting tools, not 3D spatial modeling.
Pricing and ROI
As of August 2026, Deepblocks offers a highly transparent software-as-a-service pricing model that accommodates both individual practitioners and enterprise teams. The entry-level Developer tier is published at $18 per month. This tier provides access to the core 3D massing and financial projection tools, allowing users to draw parcels and test feasibility assumptions on a site-by-site basis. For institutional users requiring access to the platform’s full capabilities—including market-wide parcel filtering, digitized zoning databases, and demographic trends—the Pro tier is priced at approximately $2,000 per month. Enterprise engagements requiring custom API integrations or dedicated workflow strategy consulting are priced on a custom basis.
The return on investment math for Deepblocks is straightforward when compared to traditional preliminary due diligence costs. A standard initial feasibility study conducted by an outside architectural firm can cost between $5,000 and $20,000 and take several weeks to complete. By utilizing the Pro tier at $24,000 annually, a development firm only needs to replace two to four outsourced architectural studies per year to break even on the software cost. Furthermore, the ability to rapidly disqualify unviable sites internally prevents the firm from wasting expensive legal and architectural hours on dead-end deals. For independent developers, the $18 monthly tier pays for itself immediately by providing back-of-the-envelope modeling capabilities that would otherwise require hours of manual spreadsheet formatting and municipal code research.
Integration and CRE tech stack fit
Deepblocks occupies a distinct, top-of-funnel position within the commercial real estate technology stack. It is designed to be the first tool an analyst opens when evaluating a new market or a specific parcel, long before the deal enters a formal pipeline. Because of this early-stage focus, it operates largely as a standalone application rather than a deeply integrated component of a broader enterprise system.
The software does not offer out-of-the-box, native integrations with standard real estate platforms like Yardi, MRI, or ARGUS Enterprise. Instead, the primary method of data transfer is manual export. Users generate PDF reports for investment committee presentations or export CSV files containing the preliminary financial assumptions to be loaded into proprietary Excel models. While Deepblocks states that custom API integrations are available for enterprise clients—allowing firms to pipe digitized zoning data or owner contact information directly into their internal CRM systems—these require custom development resources to implement. For most users, Deepblocks serves as an isolated sandbox for rapid scenario testing, successfully bridging the gap between raw municipal data and the formal underwriting process without needing to permanently sync with the firm’s central database.
Competitive landscape
The landscape of commercial real estate site selection and feasibility software is highly fragmented, with Deepblocks competing against both specialized artificial intelligence startups and legacy data providers. In the realm of automated site selection and zoning analysis, Attentive.ai (BestCRE Score: 88) offers strong automated site measurement and feature extraction capabilities, though it leans more heavily toward outdoor services and construction bidding rather than pure financial feasibility. PriceHubble (BestCRE Score: 73) provides excellent predictive analytics and valuation models, but its strength lies in residential and multifamily market data rather than ground-up 3D massing and zoning constraints.
For firms focused strictly on valuation and appraisal data, tools like Clear Capital (BestCRE Score: 78) and HouseCanary (BestCRE Score: 74) provide deep automated valuation models (AVMs) and market analytics. However, these platforms evaluate existing structures and market conditions, lacking the generative 3D modeling and highest-and-best-use scenario testing that defines Deepblocks.
Direct competitors in the zoning and feasibility space include platforms like Giraffe and TestFit. TestFit excels at rapid, highly detailed parametric modeling for multifamily and industrial sites, offering more granular architectural precision than Deepblocks, though often at a higher price point and steeper learning curve. Giraffe provides a similar GIS-based mapping and financial modeling environment, catering heavily to urban planners and large-scale developers. Deepblocks differentiates itself by heavily emphasizing the digitization of municipal zoning codes to automate the legal constraints of the 3D models, aiming to provide a faster, more financially focused back-of-the-envelope calculation for acquisition teams.
The bottom line
Deepblocks is a highly effective, purpose-built tool for commercial real estate developers and acquisition teams who need to dramatically accelerate their site selection and preliminary feasibility workflows. It is not a replacement for ARGUS, nor is it a substitute for formal architectural plans and local zoning counsel. Instead, it is a top-of-funnel screening mechanism designed to separate viable development opportunities from dead ends in minutes rather than weeks. The platform’s ability to instantly translate complex municipal zoning codes into visual 3D massing models and preliminary financial pro formas provides a distinct competitive advantage in fast-moving markets. For property managers or core investors focused on stabilized assets, the software holds little value. However, for ground-up developers, land brokers, and value-add investors, the clear pricing structure and significant reduction in initial due diligence costs make Deepblocks a mandatory consideration for modernizing the acquisition pipeline.
Frequently asked questions
Does Deepblocks replace the need for an architect or zoning attorney?
No. Deepblocks provides preliminary 3D massing and feasibility models based on digitized zoning data. It is designed for early-stage site screening and back-of-the-envelope calculations. Final architectural designs, legal zoning verification, and permitting still require licensed professionals before a project can proceed.
Can I integrate Deepblocks directly into ARGUS Enterprise?
Deepblocks does not offer a native, out-of-the-box integration with ARGUS Enterprise. Users typically export their preliminary financial assumptions and building metrics from Deepblocks via CSV or PDF, and then manually input those baseline figures into ARGUS for deep, multi-tier cash flow underwriting.
How much does Deepblocks cost per month?
Deepblocks publishes highly transparent pricing. The entry-level Developer tier starts at $18 per month, providing core 3D modeling and financial projection tools. The Pro tier, which includes market-wide parcel scanning and digitized zoning databases, costs approximately $2,000 per month. Enterprise API access requires custom pricing.
Does the platform cover zoning data for every city in the United States?
No. While Deepblocks maintains a massive proprietary database, it currently covers zoning and parcel data for over 300 major United States cities. Users operating in highly rural areas or smaller secondary municipalities should verify coverage with the company before committing to the Pro tier.
Is Deepblocks suitable for managing existing, stabilized commercial properties?
No. The platform is explicitly designed for ground-up development, site selection, and highest-and-best-use feasibility analysis. Property managers or investors focused purely on operating stabilized assets without altering the physical footprint will find little utility in the software’s zoning and 3D massing features.
Does Deepblocks provide automated valuation models for single-family rental portfolios?
Deepblocks is not an automated valuation model (AVM) for existing single-family homes like HouseCanary or Clear Capital. It focuses on the financial feasibility and physical capacity of new construction and commercial development, calculating residual land value and return on cost rather than appraising existing structures.