EcoIN Data AI-Revolutionizing LCI Process Identification for LCA, PCF, EPD, and GHG Accounting.

Key Features of EcoIN Data AI:

AI-Powered Life Cycle Inventory Process Intelligence

EcoIN Data AI is an advanced no-code AI platform developed by DEISO LLC. It is designed to simplify, accelerate, and optimize the identification of Life Cycle Inventory (LCI) processes across complex environmental systems such as LCA, EPD, PCF, and GHG accounting.

Intelligent Process Identification from Prompts or Files

Users can describe their project or system in plain language (e.g., “cotton T-shirt, cradle-to-grave, France”) or upload files such as PDFs, Excel sheets, or Word documents. EcoIN Data AI will automatically extract, match, and return accurate and complete LCI processes using advanced NLP and database-matching logic.

Supports 28 Industry-Leading Databases

EcoIN Data AI gives users access to over 130,000 processes from 28 LCI databases, including:

• ecoinvent
• Sphera/GaBi (MLC Service Packs)
• cm. chemicals
• EN15804 Add-ons
• Agribalyse, IDEA, ELCD, ProBas, EF v3.1, and more
• Totaling over 4 million structured data points across countries, materials, technologies, and lifecycle stages.

Step-by-Step LCI Wizard

A guided 5-step wizard for modeling full LCI systems based on:

1. Product/System Name
2. Goal and Scope (e.g., LCA, EPD, GHG)
3. Lifecycle Coverage (e.g., cradle-to-gate, cradle-to-grave)
4. Country or Region
5. Preferred Database

Result: A structured cradle-to-grave model with lifecycle grouping and process breakdowns.

Prompt Example:

Start the LCI wizard

I want to model an electric scooter step-by-step

Process Alternatives & Substitution Tool

Find equivalent or regional substitutes across databases.

Use Cases:

• When a preferred database lacks a process
• Need a more localized dataset
• Harmonize comparative LCA systems

Prompt Example:

Find an IDEA alternative to the ecoinvent diesel process

Please give me a Japanese substitute for aluminum production in GaBi

Upstream and Downstream Process Segmentation

Understand and extract LCI processes before and after the main production phase:

• Upstream = Raw materials, energy inputs, transportation
• Downstream = Distribution, use phase, recycling, end-of-life

Prompt Examples:

List upstream processes for plastic bottle production

Show downstream activities for steel use in Germany

Dual Mode System

• Simple Mode (default): Quick, clean text results
• Advanced Mode: Lifecycle grouping, cradle-to-grave structure, full markdown formatting

Commands:

Enable advanced Mode

Turn off advanced mode / enable simple Mode

Full Markdown Support

Use Markdown to render all LCI results in bullet-formatted, structured Markdown for:

• Clean documentation
• Notion or Obsidian integration
• Developer-friendly exports

Activity Data Insights

Use show activity data to retrieve:

• Material inputs, energy use, water use
• Emissions, outputs, and waste per process
• Organized by stage in Advanced Mode

Comparative Modeling from Prompts

Supports complex comparisons such as:

• Cotton T-Shirt vs. Polyester T-Shirt
• Aluminum vs. Copper vs. Steel
• Organic carrot vs. Conventional carrot

Language-Agnostic Prompt Support

EcoIN Data AI understands prompts written in:

• Japanese, Arabic, Chinese, German, and more

Prompt Example:

• 请展示电动汽车的生命周期 (Chinese: Show the lifecycle of electric vehicles)

What EcoIN Data AI is Designed For

EcoIN Data AI is not a calculator or emission factor database. Its primary role is to:

• Bridge the gap between user queries and complex LCA datasets
• Identify relevant LCI processes accurately across diverse databases
• Help users save up to 70% of the time usually required to identify and structure environmental data for:
  • LCA studies
  • Environmental Product Declarations (EPD)
  • Product Carbon Footprints (PCF)
  • GHG reporting

Key Benefits of EcoIN Data AI

✅ Simplifies Complex LCI Data Identification

Eliminates the traditional complexity of navigating multiple databases, system boundaries, and naming variations. Users can retrieve the right LCI process data using natural language—reducing confusion and accelerating analysis.

✅ Accelerates LCI Discovery by Up to 70%

Automating contextual analysis and structured retrieval saves significant time in identifying the correct Life Cycle Inventory processes, enabling quicker turnarounds for LCA, EPD, and PCF studies.

✅ Guided Step-by-Step LCI Modeling Wizard

To build a full cradle-to-grave model, the built-in wizard walks users through five intelligent steps—product, Scope, lifecycle coverage, geography, and database. It is ideal for non-experts, teams, or consultants needing a reliable, repeatable process setup.

✅ Full Upstream and Downstream Process Support

Allows users to isolate or analyze processes occurring before (upstream) or after (downstream) production. This enhances lifecycle visibility and enables accurate scope modeling for cradle-to-gate, gate-to-gate, and cradle-to-grave studies.

Why it matters:

• Supports ISO 14044-compliant scope definition
• Enables better modeling for packaging, waste, and end-of-life phases
• Allows users to compare process boundaries or assess supply chain segments separately

✅ Activity (Foreground) Data Identification

Retrieves detailed flow-level data for selected processes, including material inputs, emissions, energy usage, and waste. This is essential for populating models in LCA tools or verifying PCR requirements in EPD development.

Use case:

After retrieving a process like “steel production,” users can type “show activity data” to see key environmental flows ready for LCA modeling.

✅ Accurate Process Alternatives and Substitution Suggestions

Finds compatible processes across databases and geographies based on the same material, function, and system boundary. Useful for localization, cross-database harmonization, or PCR alignment.

Benefit:

Ensures coverage even when a process is missing or inaccessible in a specific database, maintaining consistency and enabling flexibility in comparative LCAs and EPDs.

✅ Best-Fit Database Matching for LCA, EPD, PCF Projects

EcoIN Data AI helps identify the most suitable databases for your product category, region, or project type—avoiding mismatched datasets and improving data fidelity.

Example:

For European olive oil modeling, it may suggest Agribalyse or EF v3.1 over ecoinvent for more granular agricultural coverage.

✅ Ensures Accurate and Standards-Aligned Process Selection

Matches user input with correct technical process names while providing full metadata, including database path, country, and description. Helps ensure alignment with ISO 14040, 14044, 14067, and EN 15804 for audit readiness.

✅ Empowers Comparative LCA and PCF Analysis

It supports side-by-side analysis of similar or competing materials and systems. It is perfect for trade-off studies (e.g., steel vs. aluminum, EV battery vs. combustion engine), with support for tabulated outputs and markdown export.

✅ Supports Complete Cradle-to-Grave Modeling

EcoIN provides lifecycle grouping with six core stages (raw materials, production, packaging, transport, use, and end-of-life), delivering structural consistency in process selection and grouping.

✅ Seamless Integration with LCA and EPD Workflows

Outputs are compatible with OpenLCA, GaBi, SimaPro, and others—making EcoIN the perfect front-end companion to data-heavy LCA software environments.

✅ Multi-Database Integration for Localized and Comparative Modeling

EcoIN supports querying across 28 LCI databases, covering over 130,000 processes. Enables seamless comparisons, localization, and regulatory alignment across global or regional studies.

✅ Multilingual Prompt and NLP Support

Users can interact in Japanese, Arabic, Chinese, and more. Prompts are auto-detected, corrected, and translated internally for consistent results regardless of language input.

✅ Built-in Natural Language Understanding and Correction

Detects typos, phonetic errors, or vague prompts and translates them into accurate queries using AI-powered intent recognition and correction.

✅ Markdown Support for Documentation and Portability

All outputs can be exported in clean, structured Markdown—perfect for Notion, GitHub, Obsidian, Bear, or email reports. Ideal for teams, academic reporting, or EPD documentation workflows.

✅ Improves Decision-Making Through Data Transparency

By delivering structured, traceable data—including process descriptions, regions, technologies, and flow data—EcoIN supports confident, data-driven sustainability decisions.

✅ Reduces Project and Reporting Costs

Accelerates key tasks like process lookup, documentation, and dataset validation—enabling organizations to deliver more quickly and reduce LCA/EPD project budgets.

✅ Improves Accuracy and Audit Readiness

Ensures that selected LCI processes are aligned with geographical, technical, and system boundaries appropriate for your study—reducing revision cycles and ensuring compliance in verifications.