Cove.tool is an automated design platform for intelligent building performance. Build smarter, more accurate models in a tenth of the time to win work and reduce design cycles. Using automation, cove.tool allows anyone on a design team to make better decisions. With its intuitive workflow and plugins for Revit, SketchUp, Rhinoceros, and more, cove.tool enables all architects, engineers, and developers to let data drive the design process.
The cove.tool web app allows for a parametric cost vs energy optimization, automated inputs for all energy codes, easy geometry imports, quick façade guidance, strategy comparison, and more.
3D Visualization for Daylight, Glare, Shadow, Radiation, View Quality, COVID Occupancy Assessment Score, and Site-Context Studies
Automated Energy Modeling with pre-loaded Templates, Energy Codes, and Engineering Inputs
Indoor, Outdoor, Stormwater Management, and Cooling Tower Water Use Calculator
Carbon Emissions and Embodied Carbon Calculator
Parametric Cost vs Energy Optimization
Manufacturer-Provided Cost Database
Earn LEED Points for preliminary energy, water use, daylight, and site analysis
Architecture 2030 Integration
geometry plugins for Revit, Rhino/Grasshopper, SketchUp, and more
Energy Conservation Measure Study
Why is using this workflow a smart choice?
Across the world building energy codes have been becoming more and more stringent over the last 30 years. The efficiency requirements have tightened even more aggressively over the last 3 years with multiple countries, states and cities adopting a net zero energy code to combat climate change. The building design industry has not modified its workflows to match the new requirements, and have gone from needing expensive sustainability consultants on only 10% of all projects to 50%. The consulting industry has grown immensely, while still being overwhelmed with work and the architects, engineers, contractors and developers are looking towards technology to help tackle this growing need.
What is the vision?
cove.tool’s premise is that buildings should be designed by a single intelligent machine in a symbiotic relationship with the design team. Today, buildings are designed mostly by intuition with dozens of different standalone, desktop-based, software applications.
Designing a building of any size requires multiple professions working together and coordinating vast amounts of information. Every step is a data transfer layer that slows down the process, introduces uncertainty, and increases cost.
Amazingly, this process uses little automation or rigorous data workflow to maintain continuity. Architects, engineers, contractors, and owners rely upon email and in person meetings to coordinate the execution of the building. The current software market is highly fragmented with standalone specialized desktop “hero” applications that do not communicate through a functional data structure.
Specialist consultants fill the gaps by running simulations in difficult to use software. Others possess specialized knowledge of standards. Everyone has siloed data but no easy way to share it. Each professional does their task sequentially leading to a design and documentation process that can take months to years to complete.
Increasingly, stringent building performance regulation standards are forcing the industry to seek out data-driven design methods and tools. What is needed is an intelligent architecture machine to coordinate, optimize, and work as a partner to the team. That is the future we are building.