The World’s First AI-Designed Garden-Style Multifamily Project

AI-Designed Garden-Style Multifamily Development

Project Overview

PROJECT NAME:

17 Kent Road Garden-Style Multifamily

LOCATION:

New Milford, Connecticut

SCOPE:

200 Units

TYPE:

Garden-style mixed-use multifamily over concrete podium

TIMELINE:

Design completed in 30 days

ARCHITECTURE FIRM:

Cove Architecture

Utilizing AI to Reimagine Speed, Scale, and Sustainability in Architecture

In New Milford, Connecticut, a groundbreaking residential project has quietly set a global precedent. The 200-unit development at 17 Kent Road is the first-ever garden-style multifamily project fully designed using AI, delivering in just 30 days what typically takes 6–9 months.

This mixed-use project, situated near the banks of the Housatonic River, combines advanced building performance, smart urban planning, and affordability in a cohesive, AI-enabled vision. Backed by Cove Architecture’s intelligent design framework, it offers developers a compelling model of how speed, sustainability, and ROI can coexist.

Developers face increasing pressure to deliver housing that is high-density, cost-effective, and sustainable. This project addresses all three—compressing timelines, ensuring on-budget delivery, and integrating systems that reduce long-term operational costs.

70-‎‎‎
%

Reduction in Design Timelines

12-
%

Target IRR

40-‎
%

Offset in Common-Area Energy Use via Solar

%

Reduction in Design Interaction Costs

Advanced AI: Coordination at Machine Speed

At the core of this revolutionary timeline is Vitras.ai, Cove Architecture’s proprietary AI design assistant. Built over a decade and supported by $15 million in research and development, Vitras.ai is an engine that blends code compliance, zoning intelligence, cost estimation, and clash detection into a seamless workflow.

Vitras.ai operates like a high-speed analyst, processing zoning regulations, running simulations, and suggesting real-time alternatives—all in parallel with human teams.

The Result:

  • Design timeline reduced to 30 days

  • Real-time zoning analysis maximized unit count and lot efficiency

  • Live cost visibility ensured continuous alignment with project pro forma

  • Phased deliverables enabled agile collaboration from start to finish

  • Automated clash detection eliminated rework and late-stage surprises

The result is more than speed, it’s clarity and confidence for developers. With Vitras.ai, costly redesigns were avoided, coordination bottlenecks were removed, and the entire team operated from a single, continuously informed model.

Architecture Myth Turned Reality: Delivering on Budget and Density

Design is only as valuable as its alignment with financial targets. Throughout the process, AI tools tracked every cost variable and ensured the project remained within budget thresholds.

Key cost-optimization achievements included:

  • Maximizing density within zoning constraints through automated massing studies

  • Preserving construction budget through value-engineered design decisions

  • Reducing design iteration time by more than 40%

Real-time feedback loops meant that financial feasibility was never in question—the design evolved in harmony with the development’s financial model.

Sustainable Design Built In

This project didn’t treat sustainability as an afterthought. With proximity to the Housatonic River, it required both resilience and innovation. AI-supported simulation allowed for:

  • Flood-resistant podium construction tailored to site-specific risks

  • Smart stormwater management integrated into early design stages

  • Solar photovoltaic systems expected to offset 40–60% of common-area electricity

  • EV charging infrastructure pre-designed for future scalability

By embedding sustainability into the design phase, long-term operational savings and ESG targets were achieved without cost overruns.

Architecture That Serves the Market and the Community

The development is not just financially strong, it thoughtfully addresses both social and economic needs. Comprising 200 total units, the project reserves 60 of them, or 30%, as affordable housing to support mixed-income residency. At street level, ground-floor retail spaces are planned to invigorate the local economy, encourage entrepreneurship, and promote a walkable, community-oriented environment.

Financially, the project targets an internal rate of return (IRR) of 12–15%, a goal made achievable through the strategic use of local and federal incentives. This well-balanced blend of mixed-income housing and mixed-use design fosters long-term neighborhood vitality while maintaining solid financial viability for investors.

Key Outcomes for Developers

  • Time Savings: Full architectural delivery in 30 days

  • Cost Control: Pro forma-aligned from concept through documentation

  • Reduced Risk: Early coordination and zoning validation minimized rework

  • Environmental Impact: Long-term systems support ESG and performance goals

  • Community Value: Affordable units and retail improve project-market fit

AI and Architecture: The Future of Suburban Development?

Cove Architecture’s New Milford project proves that suburban multifamily housing can be delivered faster, smarter, and with lower risk using AI. With advanced technology embedded at every stage, this development is not only a first—it’s a model for how high-yield, community-minded projects can move from idea to execution in record time.

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