Revolutionizing LCI Process Identification for LCA, PCF, EPD, and GHG Accounting
Accelerate your sustainability workflows through instant, execution-grade LCI process identification across multi-database environments.
- 130,000+ LCI processes
- 28 databases
- 90% time reduction
Use EcoIN Data AI ( ecoin.deiso.ai ) to identify specific process(es) based on custom search criteria across 25 industry-leading databases. Find the most suitable process for your project from a database of over 130,000 LCI processes.
The First and Largest AI-Powered Platform for Execution-Grade Life Cycle Inventory (LCI) Process Identification
Built to strengthen technical execution across LCA, EPD, PCF, and GHG accounting, enabling faster, more accurate identification and retrieval of LCI processes for high-confidence sustainability delivery.
Industry-Leading Databases
LCI Processes
Rows of Process Information
Execution-Driven LCI Intelligence for High-Performance Sustainability Workflows
EcoIN Data AI (accessible at https://ecoin.deiso.ai ) is engineered to strengthen execution across LCA, PCF, EPD, and GHG accounting by enabling rapid, high-accuracy identification and retrieval of Life Cycle Inventory (LCI) processes. The platform directly addresses one of the most critical execution bottlenecks—manual, time-intensive LCI data research—reducing project timelines and operational costs while improving technical consistency.
By operationalizing LCI process discovery and validation, EcoIN Data AI enhances execution reliability and enables teams to deliver audit-ready, high-confidence sustainability outputs across complex project environments.
Unlike conventional LCA tools, EcoIN Data AI applies a proprietary AI-driven identification engine to automatically detect and retrieve relevant LCI processes across large-scale datasets. This execution-focused architecture reduces research effort by up to 70%, while improving accuracy, traceability, and decision confidence.
With an interactive AI interface, intelligent process matching, and advanced retrieval capabilities, the platform transforms LCI data search from a manual task into a structured, scalable, and execution-ready system.
Key Features: Execution-Grade Features for Scalable LCI Process Identification
EcoIN Data AI is engineered to operationalize LCI process identification across complex sustainability workflows—reducing manual effort, improving accuracy, and enabling audit-ready execution across LCA, EPD, PCF, and GHG systems.
Automatically identifies and retrieves high-accuracy LCI processes across LCA, EPD, PCF, and GHG workflows—eliminating manual search complexity.
Access over 130,000 LCI processes across 28 leading databases—enabling consistent, scalable, and globally aligned execution. :contentReference[oaicite:0]{index=0}
Extract and match LCI processes directly from user prompts or uploaded files—accelerating execution and reducing interpretation errors.
Build cradle-to-grave LCI systems through guided workflows—ensuring structured, repeatable, and standards-aligned execution.
Isolate and analyze lifecycle stages before and after production—supporting precise scope definition and system boundary control.
Identify equivalent or localized processes across databases—ensuring continuity, flexibility, and comparative modeling capability.
Accelerates LCI identification and structuring—reducing research time and enabling faster sustainability project delivery. :contentReference[oaicite:1]{index=1}
Switch between simple and advanced modes—supporting both rapid insights and structured lifecycle modeling outputs.
Deliver structured, traceable LCI outputs aligned with ISO standards—supporting verification-ready sustainability reporting.
Execution Challenges Solved by EcoIN Data AI
Eliminates time-intensive manual navigation across multiple databases—transforming fragmented LCI research into a fast, execution-ready process.
Replaces slow and inconsistent dataset searches with unified, AI-driven LCI process identification across LCA, PCF, EPD, and GHG accounting.
Accelerates LCI identification workflows—reducing delays in LCA, PCF, and EPD execution while improving delivery timelines and cost efficiency.
Operationalizes LCI process identification, enabling consultants, enterprises, and technical teams to execute sustainability workflows with reduced dependency on deep database expertise.
Improves LCI process accuracy and consistency—supporting correct dataset selection and strengthening audit-ready sustainability outputs.
Enhances data transparency and traceability—enabling high-confidence decision-making across product design, reporting, and environmental strategy.
Supported LCI Databases
EcoIN Data AI operationalizes multi-database LCI process identification by enabling execution across a broad set of leading databases. This strengthens retrieval coverage, improves dataset matching precision, and supports scalable delivery across LCA, EPD, PCF, and GHG accounting workflows.
| # | Database Name | Version | Processes (Datasets) |
|---|---|---|---|
| 1 | ecoinvent | v3.11 | 21,996 |
| 2 | EN15804 for ecoinvent | v3.10 | 19,565 |
| 3 | IDEA (Inventory Database for Environmental Analysis) | v2 | 4,447 |
| 4 | cm.chemicals | V2.0 | 980 |
| 5 | MLC Database (Sphera/GaBi) – Professional Core | SP 2024.1 | 4,398 |
| 6 | MLC Database (Sphera/GaBi) – Electrics and Electronics | SP 2023.1 | 277 |
| 7 | MLC Database (Sphera/GaBi) – Plastic | SP 2024.1 | 75 |
| 8 | MLC Database (Sphera/GaBi) – Recycling Economy | SP 2024.1 | 27 |
| 9 | MLC Database (Sphera/GaBi) – Precious Metals | SP 2024.1 | 29 |
| 10 | MLC Database (Sphera/GaBi) Premium – Chemicals (Intermediates Organic) | 2024.1 | 184 |
| 11 | MLC Database (Sphera/GaBi) Premium – Chemicals (Intermediates Inorganic) | 2024.1 | 39 |
| 12 | NREL USLCI Integrated Data | SP 2024.1 | 5,242 |
| 13 | MLC Database (Sphera/GaBi) – Food and Renewable | SP 2024.1 | 517 |
| 14 | MLC Database (Sphera/GaBi) – Construction | SP 2024.2 | 152 |
| 15 | MLC Database (Sphera/GaBi) – Carbon Composite | SP 2024.2 | 153 |
| 16 | Environmental Footprint Database (EF) | v3.1 | 103 |
| 17 | MLC Database (Sphera/GaBi) Premium – Energy | SP 2024.2 | 567 |
| 18 | Agribalyse | v3.1.1 | 17,557 |
| 19 | ELCD | 3.2 | 608 |
| 20 | NEEDs (New Energy Externalities Developments for Sustainability) | Initial Version | 922 |
| 21 | USDA Crop Database | Initial Version | 8,934 |
| 22 | BioEnergieDat | Initial Version | 177 |
| 23 | OzLCI | 2019 | 957 |
| 24 | worldsteel | 2020 (EF 3.0) | 36 |
| 25 | LLC-Inventories.ch – Biogas and Compost from Biowaste | 2.2 | 16 |
| 26 | ProBas 2 | 3 | 29,112 |
| 27 | UVEK Datenbestand | 2 | 5,133 |
| 28 | Exiobase | 3 | 9,800 |
| MLC refers to: Managed LCA Content. | |||
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Engage with the platform through guided demos or access structured documentation to understand execution workflows and capabilities.
