TwinMaster provides Arch-e, an AI copilot for the architecture and construction industries that uses multi-agent systems for design and analysis. Users interact via natural language to generate contextualized, dynamically evolving 3D models with immediate feedback on metrics like cost and sustainability. The platform facilitates collaboration through a common knowledge graph-based Digital Twin model synchronized across various BIM formats.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Architects face challenges in efficiently managing, collaborating on, and presenting complex 3D building models. Traditional methods often lack seamless integration, real-time collaboration, and consolidated portfolio management, hindering productivity and effective communication.
Solution
TwinMaster offers an AI-powered platform designed to streamline the architectural design process, from initial creation to final presentation. The platform enables architects to import and convert 3D BIM models into digital twins, facilitating real-time collaboration and analysis within a shared Metaverse environment. With its integrated AI copilot, "Arch-e," users can leverage natural language to design, analyze, and optimize models, generating sustainability metrics, cost estimations, and energy conservation strategies. TwinMaster fosters seamless teamwork by synchronizing interactions through a common knowledge graph-based digital twin model, ensuring transparency and collective decision-making.
Target Audience
The primary target audience includes licensed architects, unlicensed practicing architects, and current architecture school students seeking to enhance their design workflow and collaboration capabilities.
Features
- AI-powered copilot "Arch-e" for intuitive design, analysis, and collaboration using natural language
- Universal 3D (BIM) model conversion to digital twin and back, supporting formats like Revit, Rhino, and SketchUp
- Real-time collaboration within a shared Metaverse environment
- Automated generation of sustainability metrics, cost estimations, and energy conservation strategies
- Common knowledge graph-based digital twin model for synchronized team interaction
- 3D design model optimization using AI, enabling "text to digital twin" functionality
- Integration, simulation, and inference capabilities for immediate feedback on design options