First, we study how the work happens today: the datasets, formulas, assumptions, review steps, decision logic, and outputs that drive it.
Then we structure and build the workflow for automation, combining organized data, repeatable calculations, AI agents, dashboards, reports, integrations, internal tools, and human review at the points that matter.
The approach applies across real estate, private credit, development, construction, architecture, brokerage, municipal workflows, market intelligence, and other built-environment processes.
These projects show how Deepblocks applies AI to real client workflows that were previously handled through long manual review processes. Each project started by mapping the client’s existing steps, source materials, assumptions, and decision logic, then converting that process into structured AI workflows, dashboards, reports, or automated outputs that could scale across more markets.
Highest & Best Use AI
Deepblocks converted a client’s 30-step Highest & Best Use analysis process into a coordinated AI workflow.
The original process took approximately 90 days to produce a complete report. We mapped each step of the workflow and replaced the manual review process with 30 specialized AI model instances that analyze municipal datasets, zoning conditions, site inputs, market context, comparable evidence, assumptions, and report logic.
Once the required datasets are added for a municipality, the system can automatically generate a complete Highest & Best Use report in under one hour.
AI Zoning Docket
Deepblocks created an AI workflow for reviewing, classifying, and analyzing municipal zoning hearing activity.
The client previously spent three to four days each month reviewing hearing minutes, categorizing projects, tracking decisions, and evaluating the risk level of proposed building activity. We built three AI workflows that classify each project, extract zoning decisions, structure the hearing outcomes, and populate dashboards and reports.
The system organized more than 15 years of zoning decisions, making it possible to review approval patterns in bulk and assess the risk profile of a specific project based on historical municipal outcomes.
AI-Generated News
Deepblocks built an AI publishing pipeline for generating real estate articles from structured demographic and market data.
The pilot used AI to write articles across cities, ZIP codes, and neighborhoods, turning recurring datasets into publishable real estate content. The system reached a cadence of 2,000 articles per day, with 160,000 total articles published.
The project demonstrated that when AI is connected to a steady flow of structured data, it can produce consistent, high-volume real estate content while maintaining a repeatable editorial framework.
We find development and value-add opportunities that match your criteria, delivering on-market deals and off-market leads.
Deepblocks scans listings, parcel data, zoning, and market signals to surface properties with real development or value-add potential, then screens every match and analyzes the strongest against your assumptions.
We deliver reviewable studies, complete with scenarios, reports, and model links already built out, so your team can open the model, adjust the numbers, compare scenarios, and decide what to pursue. Each opportunity includes a summary email, live Developer study, PDF report with rendering, pro forma, and the source listing or underlying property data behind it, all delivered in AIM, our deal-review CRM.
Plans scale with the number of opportunities delivered each month and the breadth of markets monitored.
Deal Flow Plans and Pricing
Plan
Pricing
Description
Developer Access
$99/mo
Access to the analysis workspace for unlimited self-directed development and value-add studies.
Deal Finder
$499/mo
Two analyzed opportunities per month, on-market deals or off-market leads, selected around your acquisition criteria.
Deal Pipeline
$1,999/mo
Eight analyzed opportunities per month, on-market deals or off-market leads, for teams reviewing every week.
Daily Deal Flow*
$5,999/mo
One analyzed opportunity every business day, on-market deals or off-market leads, for active acquisition teams.
* Best for active teams monitoring multiple markets or acquisition theses.
Every selected opportunity is delivered in AIM, our deal-review CRM for Custom Deal Flow. AIM helps your team review each on-market deal and off-market lead, organize the pipeline, open the supporting analysis, and decide which opportunities should move forward.
Manage the Pipeline
AIM works like a CRM for real estate opportunities. This walkthrough shows how Deal Flow customers review delivered deals and leads, write notes, update status, change map colors, and organize each opportunity as it moves through the pipeline. Every record also carries the property data behind it, so your team can see exactly why it was identified.
Review the Property Data
Each opportunity includes a property panel with the key site, parcel, zoning, and market details used in the search and screening process. For off-market leads, AIM can also connect to contact data through API integrations, helping teams move from property identification to owner outreach. Any third-party API costs are passed through to your team.
Calculate Residual Land Value
AIM includes a residual land value calculator for development opportunities. Using the project’s income, cost, and return assumptions, it estimates what the land is worth under the proposed scenario, letting your team quickly test whether the asking price or target acquisition price is supported by the economics.
Open the Live Developer Model
Each opportunity in AIM links directly to its feasibility study in Developer, giving your team access to the live analysis behind it. Open the model to review the assumptions, adjust the numbers, test development and value-add scenarios, and compare returns in real time. AIM becomes the front door to the full analysis, where every deal and every lead opens into the complete model behind it.
Developer is our deal analysis engine, available as a stand-alone product for teams that want to run their own pipeline.
Turn early opportunities into live feasibility studies, test development and value-add scenarios, adjust assumptions, compare returns, and produce model-backed outputs your team can act on.
Explore live feasibility studies built on the same sample deals. Each model opens up the assumptions, 3D massing, return metrics, and scenario logic inside Developer.
Condo Development Sample
South of Fifth Boutique Condo
A 5-unit boutique condominium on a 4,000 SF South of Fifth lot, modeled with ground-floor parking and a variance scenario reaching a 42% return on cost.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Multifamily Development Sample
South of Fifth Multifamily Development
A 9-unit boutique multifamily rental on an assembled South of Fifth site, with premium rents and no parking requirement.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Hotel Development Sample
Edgewater 34-Key Hotel
A 34-key Edgewater hotel with large rooms and a ground-floor stacked-parking system to meet the site’s parking constraint.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Office Development Sample
Wynwood Boutique Office Redevelopment
A boutique office redevelopment of a 13,000 SF Wynwood warehouse, using NRD-1 overlay parking reductions to support the program.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Retail Development Sample
Little Havana Retail Development
Existing market for sale, in a prime Little Havana corner, perfect for a new restaurant with the market on top, yielding an 8.44% return on cost.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Industrial Development Sample
Little River Industrial Storage Facility
A 56,000 SF industrial storage and distribution facility on a narrow Little River site in a D2 district.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Condo Value-Add Sample
Eight-Unit Condo Conversion
A light-renovation condo conversion of an existing 8-unit building that already exceeds current zoning.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Multifamily Value-Add Sample
Meridian Avenue Multifamily Repositioning
A value-add repositioning of two adjacent Meridian Avenue multifamily buildings, with unused land for future expansion.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Hotel Value-Add Sample
Key Largo Waterfront Hotel Repositioning
A repositioning of a 21-key Key Largo waterfront hotel into a modern getaway, targeting an 8.41% return on cost.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Office Value-Add Sample
Coral Gables Office Repositioning
A facade-focused repositioning of a 5,000 SF Coral Gables office building, modeled at a 6.77% return on cost.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Retail Value-Add Sample
Wynwood Retail Repositioning
A repositioning of a Wynwood retail property with interior and open-air terrace space, hinging on a disciplined acquisition price.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Industrial Value-Add Sample
Industrial Repositioning with Condo Upside
A two-phase industrial play: near-term office repositioning with longer-term condominium redevelopment upside.
You can also use a Deepblocks pro forma template for each sample deal, with program, cost, revenue, and return assumptions already organized for deeper underwriting.
Onboarding Included
Once your subscription is active, we meet with your team to walk through Developer and run a few deals together. We show you how to set assumptions, adjust the model, test development and value-add scenarios, review return metrics, export the CSV, and connect the outputs to a pro forma. After the walkthrough, your team can use Developer on its own pipeline with a clear understanding of how each feature supports early deal analysis.
Deepblocks converts your acquisition criteria into a repeatable screening process. Criteria can include geography, price range, property type, lot size, zoning conditions, value-add profile, target program, return assumptions, and exclusion rules.
We apply that process across public listings, parcel data, zoning logic, development capacity, value-add signals, market context, and comparable activity to identify properties that warrant analysis.
The strongest matches are delivered as structured deal studies with key assumptions, scenario logic, and exportable reporting already organized. The goal is not more listings. It is a more focused pipeline of opportunities worth reviewing.
ALGORITHMS
Deepblocks scans thousands of public listings and parcels to identify on-market properties that match your investment and development criteria.
Each match is screened for zoning, nearby development, market signals, and project assumptions before entering your deal flow.
ChatDB is a market research tool for querying demographic and economic data across cities, zip codes, neighborhoods, and census tracts. Through a conversational interface, users can generate rankings, maps, and trend visuals from structured datasets without building reports manually. It is designed to accelerate early-stage market analysis and make local patterns easier to compare, interpret, and present.
ChatDB
Query demographic and economic data across cities, zip codes, neighborhoods, and census tracts to identify high-growth markets.
Generate rankings, maps, and trend visuals from structured public data through a conversational interface.
Every qualified opportunity arrives as a live, editable deal study inside Developer, ready for first-pass review.
Each property is packaged with the context your team needs to make a fast call: 3D model, deal logic, key assumptions, feasibility outputs, and shareable links your team can adjust on the spot. You get a reviewable pipeline of opportunities, each one ready for the next stage of analysis.
DEV
Model the core variables behind early-stage feasibility, including income, expenses, vacancy, construction costs, unit density, and FAR.
Adjust unit mix, uses, rents, costs, and purchase price in real time while the 3D model, return on capital, and PDF report update automatically.