MDLR
MDLR is an open-source AI-powered platform that streamlines design and construction project management through integrated 3D viewing, real-time dashboards, and interactive whiteboards.
Visit Website
https://mdlr.app/
Product Information
Updated:31/10/2024
What is MDLR
MDLR is an innovative project management platform specifically designed for Architecture, Engineering, and Construction (AEC) professionals. It serves as a comprehensive solution that centralizes project data, automates reporting processes, and leverages AI for deeper insights. The platform launched its first release on November 1st and represents a significant advancement in construction project management technology, combining powerful visualization tools with data-driven decision-making capabilities.
Key Features of MDLR
MDLR is an open-source AI-powered project management platform specifically designed for Architecture, Engineering and Construction (AEC) professionals. It combines 3D visualization capabilities, real-time dashboard reporting, and interactive whiteboard features to streamline project workflows. The platform offers tools for model annotation, data analysis, automated reporting, and collaboration, all while maintaining compliance with security standards like GDPR and ISO 27001.
3D Viewer with Annotation Tools: Allows users to explore and annotate 3D models in real-time, adding comments, drawings, and media attachments directly on the models
Interactive Dashboards: Provides customizable dashboards with dynamic charts, real-time data updates, and AI-powered insights that can be exported in multiple formats
Automated Reporting System: Features automated dashboard delivery via email or chatbot, with customizable scheduling and role-based access
AI-Powered Data Analysis: Incorporates AI technology for generating insights, configuring dashboards, and providing real-time metrics analysis
Use Cases of MDLR
Construction Project Management: Teams can collaborate on 3D building models, track progress, and generate automated reports for stakeholders
Architectural Design Review: Architects can share designs, receive feedback, and manage design iterations through the 3D viewer and annotation tools
Engineering Data Analysis: Engineers can analyze project data, generate insights, and create custom dashboards for technical performance monitoring
Pros
Comprehensive integration of 3D visualization, reporting, and collaboration tools
Strong security compliance with GDPR, ISO 27001, and SOC 2
Supports wide range of file formats commonly used in AEC industry
Cons
New platform with features still being rolled out gradually
Requires initial setup and configuration for optimal use
How to Use MDLR
Sign up and Installation: Visit mdlr.app and request a demo or sign up for an account. Once approved, you can access the platform through your web browser.
3D Model Upload: Upload your 3D models in supported formats like .rvt, .dwg, .ifc, .obj, etc. through the 3D Viewer interface.
Model Annotation: Use the 3D Viewer tools to add comments, drawings, pinpoints, and media attachments directly on your 3D models for team collaboration.
Dashboard Creation: Create customized dashboards using pre-built chart components and widgets to visualize your project data in real-time.
Whiteboard Setup: Use the Whiteboard feature to retrieve data from the 3D viewer and create visual representations for project management.
Report Automation: Configure automated reporting by setting up dashboard delivery schedules via email or chatbot for different team members.
AI Integration: Utilize the AI-powered features to generate insights, configure dashboards, and optimize project workflows automatically.
Team Collaboration: Invite team members to collaborate in real-time across all features - 3D Viewer, Dashboard, and Whiteboard.
MDLR FAQs
MDLR is an open-source AI-powered project management platform designed for AEC (Architecture, Engineering, and Construction) professionals. It provides customizable 3D viewers, real-time dashboards, and an interactive whiteboard to streamline project workflows, data insights, and collaboration.
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