Chain Drain Research Database

Last Updated on August 20, 2026

Creating fantastic buildings and urban spaces in America is harder and more costly than it “should be.” Some blame NIMBYism; others blame a lack of cultural value placed on the built environment. In the best case, these are political issues and largely outside the scope of day-to-day professional work in the architecture, engineering, construction, and real estate/operations sector (collectively, AECO). In the worst case, they're excuses for inaction. A community of startups (variously called proptech, contech, govtech, AECtech, or hard tech) provides an alternative thesis: progress is possible by reinventing the work for the 21st century.

This database began with the idea that analyzing the pitches and claims of companies trying to augment or disrupt the AECO sector can serve as a lens through which to find an emergent consensus of current pain points – the chain drain, as described in our paper – and potential solutions. We've analyzed that touch the built environment in some way, providing a core sample of entrepreneurial approaches to the many jobs of city-making.

The companies in our database span multiple professional silos. They include offerings aimed at the people who develop projects, those who design and build them, as well as the operators & maintainers. By looking at the entirety of the supply chain and cataloging innovations within it, we developed a framework for understanding these urban technologies without getting lost in the minutiae of the latest trends, whether that's BIM, 3D printing, or digital twins.

Each company is scored on two dimensions:

1. Digital Transformation (vertical) is how far the machine has replaced the human – from people doing the work with basic digital tools, to the human supervising an automated process.

2. Chain Transformation (horizontal) is how much of the supply chain a product reorganizes – from a single task within one role, to spanning many phases with a new business model.

Bringing the axes together creates four quadrants, each named after what protagonists therein do to business-as-usual. Move your cursor over the 2x2 below to explore the implications of each quadrant.

Fast Forward

Products/Companies accelerating the work of a single link in the chain using AI and/or contemporary software practices. New Tools.

Eject

Products/Companies reinventing the work through new business models that rely on specialized hardware/software. New paradigms.

Play

Products/Companies offering client services in the built environment, and often using basic digital tooling. Business as usual.

Pause

Products/Companies reorganizing the chain through new kinds of collaboration and/or new values being pursued. New networks.

Solving chain drain makes business sense for AECO professionals, and so it's no surprise that the outcomes promised most often from companies in the database are about saving money or time. Some 58% of these companies also aspire to improve social, environmental, health, and safety outcomes, and this has been a central question for our research: what change(s) to the status quo will enable such higher aspirations?

We care about new technology and new approaches to the AECO supply chain because it's these innovations that promise to produce a level of interconnection and coordination that unlocks a radically better built environment. They are how the “drain” gets fixed.

Charts on this page are interactive. Move your cursor across them to see a glimpse of the data behind the chart, or click for a full company dossier (68% of which are human edited).

Where's the Drain?

By identifying the stage(s) in a built-environment project lifecycle that are intervened upon by each company/product, we create a map of the perceived drain across the entirety of the supply chain.

Hover over the chart to see example companies in each category with a rationale for how they touch that link in the chain. When an entry touches multiple phases, all will light up. Hovering over labels provides a full definition for each category.Click on chart labels to see full definitions.

Who Owns the Drain?

This chart maps target buyers for the products in the database – the people who are being courted to do something about the symptoms of chain drain. In aggregate the chart below provides a view of who the market perceives as being empowered to plug the leaks. Primary is the identified “most likely buyer,” and Additional Buyers includes those who are also being targeted by any one company/product.

Hover over the chart to see example companies in each category with a rationale for the noted buyer. When an entry has multiple potential buyers, all will light up. Hovering over labels provides a full definition for each category.Click on chart labels to see full definitions.

  • Primary customer
  • Additional customer

Who's Displaced When Chain Drain Stops?

For each company, we've identified which actors in the market are “likely to be disrupted.” This shows who needs to batten down the hatches, evolve, or adapt. Primary is the category “most likely to be disrupted.”

Hover over the chart to see example companies in each category with a rationale for disruption in the noted category. When an entry has multiple potential disruption targets, all will light up. Hovering over labels provides a full definition for each category.Click on chart labels to see full definitions.

  • Primary target
  • Additional target

What Benefits Come from Fixing the Drain?

By categorizing the sales pitch we identify the outcomes each product promises to deliver. Each circle represents a different form of outcome, sized by how many companies claim it. 58% of companies claim at least one outcome beyond cost and speed.

Hover over the circles to see example companies in each category with a rationale. When an entry has multiple potential value propositions, all will light up. Hovering over labels provides a full definition for each category.Click on chart labels to see full definitions.

Company Dossiers

Dossiers are drafted using a research pipeline built around Claude Opus, Sonnet, and Haiku models and then edited by human researchers. Click or tap a company name to read the dossier.

Dataset

Experimental Visualizations

The following are works in progress:

  1. Heatmap of Who Buys AECO Disruption
  2. Heatmap of Transformation
  3. Heatmap of Core Techologies
  4. Distribution of Companies by Asset Class

Methodology

As an exploratory research project, this set of dossiers has been harvested from October 2025 onward while I have been immersed in the field as a close observer. Sources monitored include LinkedIn, Instagram, and Threads as social media platforms; newsletters such as CRETI Weekly Proptech, Last Week in ConTech, Fifth Wall, and my own research/interviews via Urban Technology @ University of Michigan.

Criteria for Inclusion: we accepted candidates that are: 1. A company or non-profit organization operating a product/service (not an academic initiative, research project, or venture capital firm). 2. An AECO-dedicated offering that serves at least one phase of the built environment lifecycle (inception through operations) for buildings, renovations, landscape, public space/urban design, right-of-way, or physical infrastructure. Businesses that include AECO as one of many verticals but are not AECO-specific (e.g. Salesforce) were not included. 3. Operating at the time of research. In some cases companies were subsequently acquired or closed, in which case an update has been added to the dossier.

Assessment: Companies were researched using publicly accessible webpages including their homepage, product page, news section, and searches for the company in news media. We accepted claims at face value and did not attempt to screen for vaporware or overblown promises. Therefore, this corpus should be read first as a temperature gauge of the urban tech sector's aspirations rather than an index of actual change happening, though most of the companies on this list are established with a number of customers, sales volume, or other markers of commercial success.

Processing: Based on name and URL provided by a human researcher, an automated process using Claude Opus, Sonnet, and Haiku models gathers information about the company in a structured format on the following fields: status (operating|defunct), phases_touched, digital_innovation and supply_chain_innovation using rubrics we established, target_customers, disruption_targets, value_proposition, core_technologies. For human-edited entries, this initial research was then vetted against the web sources from which it was harvested and the text was confirmed or edited. The research skill was continuously refined to align automated performance with human interpretation.