Overview
One Click LCA uses AI to automate and streamline various aspects of the Life Cycle Assessment (LCA) process, making it faster, more efficient, and more accurate.
Key Implementations of AI
Automated Data Mapping: This is a core function where AI intelligently matches imported data from BIM models (like Revit) or spreadsheets to the correct materials and data points in One Click LCA's extensive database. The AI learns from user corrections and synonyms, reducing the need for manual data entry and minimizing errors.
AI-Powered Insights and Verification: The software uses AI to perform automated quality checks on an LCA and can suggest improvements. It can compare a design against benchmarks and flag potential modeling errors, which helps to identify decarbonization opportunities and improve the overall quality of the results.
Early-Stage Design: AI helps users quickly explore a variety of design scenarios by generating and optimizing early-stage options based on project parameters. This allows designers to make data-driven decisions about sustainability even before a detailed material profile is available.
EPD Automation: AI is used to automate the creation and verification of Environmental Product Declarations (EPDs). This helps manufacturers produce EPDs more quickly and affordably while maintaining accuracy and ensuring compliance with a wide range of standards.
Extensive Database: The entire platform is powered by AI, which helps One Click LCA maintain and grow the world's largest construction LCA database, with over 300,000 data points. The AI also helps to keep this data up-to-date and verified.
Frequently Asked Questions
Q: Is machine learning used in the application?
A: Yes.
Q: Is the application a fully operational software capable of processing input and producing output (AI system), or is it only an isolated decision-making logic that still needs to be integrated into software (AI model)?
A: We have AI models for individual applications that are connected to the main software.
Q: What type of artificial intelligence is used in the software?
A: Here are some examples on the usage of AI in our software.
AI mapping uses the AI model that is trained on our (publicly available) data and served in an isolated environment in the cloud under our account.
AI Chat utilises two different isolated AI models (that are trained on our data and deployed in the cloud under our account) to search for the right LCA datapoints and the OpenAI model to generate the chat response.
In both instances, we are using only publicly available data, both in AI chat and AI mapping.
Q: What specific tasks does the AI perform within the software?
A: We currently have these features that are enabled by AI:
Plausibility Checker helps ensure LCA quality.
AI Chat helps users find appropriate LCA datapoint to add in their designs.
AI mapping generation model matches automatically appropriate environmental profiles to imported material data.