Streamlining Development: How AI is Accelerating Pre-Construction Workflows

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The United States faces a stark reality: it needs 5 million new homes to meet current demand, yet the industry continues to struggle with building enough housing at affordable price points. While various factors contribute to this crisis, one significant bottleneck lies in the lengthy and costly pre-construction process that can stretch for months or even years before ground is broken.

This challenge has created an opportunity for technology-driven solutions to improve how real estate development projects move from concept to construction. Algoma, an AI-native real estate development platform, is addressing these inefficiencies by helping developers compress their feasibility and pre-construction timelines from months to weeks.

“For a real estate developer, just understanding what you can build on a site—what zoning allows, how much density you can get, what the permitting path looks like—takes a long time, usually months,” explains Seyfihan Usarer, Co-Founder of Algoma. “In this process, design iterations are slow, regulations are opaque, and there’s almost no visibility into cost or environmental impact at that early stage.”

The Traditional Development Bottleneck

The pre-construction phase has long been a pain point for developers, particularly smaller operators who lack the resources of major development firms. Traditional workflows require developers to work sequentially with multiple consultants, creating an iterative process where outputs from one specialist become inputs for the next.

Small and medium-sized developers often operate with limited budgets for feasibility studies, as this work occurs before any capital commitment to the project. Unlike large development companies that may receive free preliminary work from consulting firms competing for larger contracts, smaller developers must pay for each phase of analysis out of pocket.

“They need to work with one consultant first, and then another, and then another,” Usarer notes. “They need to take the output from one and present it as input to the other. It takes time, and they don’t have the luxury of spending this time, but also, more importantly, the money to do this.”

Focusing on the Underserved Market

Algoma’s strategy centers on serving small and medium-sized developers, a segment that represents the backbone of American housing construction but often lacks access to sophisticated development tools.

“There’s sometimes a misperception that real estate in the U.S. is all about big cities and tall buildings,” Usarer explains. “But most of the country is actually made up of single-family homes. The small and medium-sized developers building these communities are the backbone of the industry, and they typically don’t have large teams of development associates.”

The company learned the importance of maintaining strict customer focus during its development process. “When you work with someone outside your ideal customer profile at a very early stage, you can lose your product because you end up creating an internal tool for a large company,” Usarer reflects. “Those are amazing and lucrative contracts, but it’s not sustainable, especially at an early stage.”

This customer-centric approach led to the creation of a design partner program, allowing Algoma to work closely with target developers to shape the platform based on real-world needs and feedback.

Technology-Driven Solutions

Algoma’s platform combines multiple data sources with artificial intelligence to improve the pre-construction workflow. The company integrates public data, API connections with data providers, and proprietary digital libraries to deliver comprehensive site analysis.

“What we do is get a lot of public data available and turn them into meaningful graphics so that developers can process information more quickly,” Usarer explains. The platform also creates digital libraries that enable design optimization for various factors including revenue, environmental impact, and carbon footprint.

The initial platform launch includes four core features: zoning review, site capacity calculations, rent comparisons, and market intelligence. Developers can input a site address and receive comprehensive zoning analysis, understand what can be built on the property, access local rent data, and review market dynamics including supply information and demographics.

Future features will include construction costing and design automation, eventually enabling developers to generate complete feasibility studies independently through the platform.

AI Integration Strategy

Algoma positions itself as “AI native,” integrating artificial intelligence deeply across its workflows. “We’re adopting AI at every stage of the process, embedding it into how we work and deliver value,” Usarer explains.

This is especially impactful when processing complex zoning documentation. “LLMs have been incredibly useful for parsing zoning information, often hidden in dense PDFs and scattered documents,” he says. “We use AI to extract insights and generate clear, actionable summaries so real estate developers can quickly understand zoning and building codes.”

The company keeps its AI approach agile, constantly evaluating and adopting the most effective tools. “We have a strong culture of experimentation and innovation, which allows us to move fast and stay at the forefront of technology,” Usarer adds.

Market Timing and Growth

Algoma recently completed a seed funding round and has grown to a 12-person team as it prepares for its platform launch. The company sees current market conditions as creating an inflection point for construction technology adoption.

“Everyone who has been involved in a real estate development project knows how inefficient the industry is,” Usarer observes. “We’re at an inflection point where you cannot deny the power of technology, especially in the age of AI. There’s a lot of opportunity in this space to adopt technology faster.”

The company’s scope remains deliberately focused on pre-construction activities, from early feasibility through design completion. “We’re very strict about pre-construction. We’re not involved in any parts of construction. Our work is solely before construction starts,” Usarer clarifies.

Addressing the Housing Crisis

By reducing the time and cost associated with pre-construction processes, Algoma aims to enable more housing projects to move forward with greater confidence. The current system often results in project delays and budget overruns due to insufficient early-stage data and analysis.

“Right now, project budgets are overrun, schedules are delayed because you don’t have high-quality data and information at a very early stage,” Usarer explains. “We’re trying to improve that so more housing can be built.”

The platform’s ability to compress feasibility timelines could have broader implications for housing supply. “I don’t think there’s any particular reason why a developer should be spending more than two years just in the pre-construction process to get a project built, and that’s why we have such a big housing crisis.”

Looking Forward

As Algoma launches its web platform for early subscribers, the company plans to operationalize its go-to-market strategy while continuing product development. The roadmap includes migrating additional features from their existing offline software to the web platform, with construction costing and design automation capabilities planned for later releases.

For an industry traditionally slow to adopt new technologies, platforms like Algoma represent a shift toward data-driven decision-making in the earliest stages of development. By making sophisticated analysis tools accessible to smaller developers, such solutions could help democratize access to the insights needed to bring more housing projects to market efficiently.

The success of these technology-driven approaches may ultimately depend on their ability to deliver measurable improvements in project timelines and outcomes while remaining accessible to the developers who need them most.

KeyCrew Media
KeyCrew Media
Our media team consists of seasoned real estate intelligence professionals who combine deep industry expertise with compelling storytelling to deliver actionable insights for today's real estate market. Drawing from KeyCrew's extensive database of over 500,000 local experts and investors across 60+ categories, our writers leverage proprietary data analysis and AI-powered insights to create first-party content that cuts through the noise and delivers real value to professionals and consumers alike. With a focus on merit-based analysis and transparent market intelligence, our team transforms complex real estate data into accessible, insight-driven articles that help readers make informed decisions. Whether exploring emerging market trends, analyzing service provider performance, or uncovering the factors that drive real estate excellence, our content reflects KeyCrew's commitment to reimagining how the industry connects through data-driven transparency and proven results.

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