Architectural Projects
At cove, we design buildings that endure: culturally, environmentally, and operationally. Our work spans residential, commercial, mixed-use, and highly technical building types, unified by a single approach: pairing architectural judgment with AI-enabled insight to make better decisions earlier.
We see technology not as a shortcut, but as a way to deepen understanding – of place, performance, and the people who will inhabit the spaces we design.
Residential
Residential architecture shaped by AI to enhance how people live, connect, and thrive—combining data-driven design with comfort, beauty, and long-term livability.
Mixed-Use
Mixed-use developments are designed to bring together living, working, and gathering spaces, using AI to coordinate diverse uses, enhance tenant experience, and streamline development.
Industrial & Data Centers
Industrial and data center facilities are designed for performance, flexibility, and resilience, using AI to optimize layouts, energy systems, and infrastructure efficiency.
Hospitality
Hospitality spaces are crafted to balance aesthetic appeal and operational efficiency, creating memorable guest experiences while optimizing performance.
Workplace
Workspaces are developed to foster productivity, flexibility, and employee well-being, using adaptable layouts and forward-thinking design strategies.
Civic & Institutional
Civic and institutional spaces are designed to serve communities at scale, using AI to balance functionality, durability, and long-term operational efficiency.
AI-Enabled Architecture Across Project Types
Our work spans residential, commercial, mixed-use, and technical building types. While each project brings different constraints, our approach is consistent: pairing architectural judgment with AI-enabled insight to support better decisions throughout the life of a project.
Rather than treating analysis as a one-off exercise, we use intelligence to test assumptions, compare options, and carry insight forward as design evolves.
New Milford Garden Apartments
New Milford, CT
Residential
Autrey Mill Nature Preserve Farm
Johns Creek, GA
Civic & Institutional
Beaverton Apartments
Beaverton, WA
Residential
Vehicle Research Center
Fairplay, CO
Industrial & Data Centers
Tysons Adaptive Re-use
Tysons, VA
Mixed-Use
Truck Repair Facility
Atlanta, GA
Industrial & Data Centers
The Palms Retail Center
Orlando, FL
Mixed-Use
Soccer in the Streets
Atlanta, GA
Civic & Institutional
FAQs
What types of architecture projects does cove work on?
cove works on a range of architectural projects, including residential, commercial, and mixed-use work. We support projects from early feasibility and concept design through design development and visualization, depending on the scope.
Our focus is always the same: strong architectural thinking, clear communication, and designs that are buildable.
How does cove use AI in architectural design?
We use AI as a support tool to speed up early-stage exploration and communication. It helps us generate and compare design directions faster, test ideas visually, and iterate more efficiently.
AI does not “design the project.” It helps us move through options faster so the architect can make better decisions sooner.
What parts of the process does AI support?
AI supports the early and iterative parts of the workflow, including:
Concept exploration (style, massing, mood, spatial direction)
Visualization and presentation studies
Iteration and variation testing
Early design communication and client alignment
Core architectural work: planning, technical detailing, coordination, and final documentation-remains architect-led.
Are all cove projects AI-generated?
No. cove projects are architect-designed.
AI is used selectively where it adds value, mainly in early exploration and visualization. Many parts of a project are done using traditional architectural methods and tools, especially anything tied to buildability, compliance, and construction documentation.
Are these completed projects or conceptual work?
It depends on the project.
Some work shown is completed or in-progress client work, and some is conceptual exploration used to test design ideas, aesthetics, or spatial approaches.
Who is responsible for final design decisions: AI or the architect?
AI can support exploration, but it does not replace architectural judgment, client requirements, code considerations, or buildability. Final decisions are made by the design team based on real constraints, real context, and real client goals.