AI Platform for LCA & EPD Automation

An end-to-end AI platform that automates global LCA & EPD data ingestion, normalization, and analysis—helping construction and manufacturing companies scale decarbonization with confidence.

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Project Highlights

Impact at a Glance

Integrated 500,000+ global LCA & EPD datasets
Fully automated ingestion across concrete, steel, wood, paints, insulation, and more
Eliminated manual EPD downloads using AI-driven scraping pipelines
High-accuracy extraction of EPD metadata and environmental impact indicators
24×7 cloud-native processing at global scale

Client Challenge

Fragmented and inconsistent EPD data across multiple global sources
Heavy manual ingestion, validation, and normalization workflows
Limited scalability for trusted product comparison and compliance reporting

Our Solution

Built a fully automated, AI-driven sustainability data platform
Eliminated manual EPD ingestion while normalizing inconsistent formats into analytics-ready data
Enabled global scalability with continuous cloud-native processing for high-volume datasets

🔑 Key Features Delivered

Automated multi-source EPD ingestion with AI-driven extraction and intelligent validation
Geo-enriched, region-specific, certification-ready environmental outputs
Advanced search, product comparison, and user-driven LCA calculations with custom inputs

Business Impact

Significant reduction in manual effort and operational overhead
Faster data availability with improved accuracy and dataset consistency
Seamless scaling to 500K+ datasets with reduced global compliance risk

Why It Matters for Clients

Faster access to trusted, standardized environmental data
Ability to scale sustainability operations without increasing team size
Greater focus on insights and environmental impact rather than data cleanup

Our Role & Expertise

End-to-end AI platform architecture, cloud deployment, and scalability design
Automated EPD ingestion, validation, and accuracy optimization workflows
Secure, production-grade APIs, search systems, and scalable data pipelines

Technology Stack

Backend & Data: Python, FastAPI, Flask, PostgreSQL, MongoDB
AI, Search & Workflow: OpenAI, Gemini, Typesense, Qdrant, Apache Airflow
Cloud & DevOps: AWS, Docker, CI/CD with GitHub, Jenkins, SonarQube