Guided assessment dashboard
Study scope, inventory status, impact results, and review tasks in one view.
LCAgo
An agentic environment for life cycle assessment.
Human in the loopConfigurable agentsTraceable methodsExpert reviewed
Overview
What it does
In developmentLCAgo coordinates data, models, methods, and review across established LCA software in one collaborative workspace.
LCAgo helps researchers and sustainability teams build, assess, and interpret life cycle assessments with AI assistance and expert-guided workflows. It orchestrates openLCA, Brightway2, Python workflows, and internal data while keeping evidence, assumptions, methods, and results inspectable.LCAgo structures that work as a versioned and auditable workflows. Automate with AI, human-in-the-loop collaboration, and expert review.
- Goal and scope workflows
- Inventory and data quality management
- Impact assessment across multiple methods
- Scenario and sensitivity analysis
- Configurable agent workflows
- Collaborative expert review
Inside the workspace
See LCAgo in practice
From goal and scope to inventory, impact assessment, and scenario comparison.
Inventory and data workspace
Connect sources, map inventory records, and review data quality.
Scenario analysis
Compare alternatives while keeping assumptions and methods visible.
Interface concepts. Labels and details may change during development.
Features
Capabilities
Core functions in the current product direction.
Goal & scope workflow
Define functional units, system boundaries, and cut-off rules through a guided structure that stays attached to the study.
Inventory management
Import, map, and validate inventory data with built-in quality checks and full version history.
Impact assessment
Run assessments across multiple LCIA methods and review results through interactive visualisations.
Configurable LCA agents
Configure agents to prepare data, run checks, execute approved calculations, and document repeatable work.
Scenario analysis
Compare alternatives and assumption sets side by side to evaluate design and sourcing decisions.
Reporting & collaboration
Generate reports that carry their assumptions with them, and share workspaces across a team.
Integrations
Orchestrates established LCA tools
LCAgo orchestrates openLCA, Brightway2, Python, and internal data through a configurable agentic workspace. The scientific tools, methods, and calculation records remain visible and reviewable.
Connects with
openLCA
Brightway2- Python
- Spreadsheets
- Databases & APIs
- MCP
How it works
How LCAgo works
A configurable, human-reviewed workflow from connected data to traceable results.
- 01
Connect data
Bring in inventory data from databases, files, APIs, and internal systems.
- 02
Configure the study
Define goal, scope, functional unit, methods, and review gates.
- 03
Orchestrate tools
Run approved work across openLCA, Brightway2, Python, and connected services.
- 04
Expert review
Review data quality, methods, uncertainty, hotspots, and agent actions.
- 05
Publish evidence
Produce traceable results, scenarios, and reports for decision-makers.
Status
Development status
In developmentProduct development is in progress.
LCAgo combines configurable agents with human-in-the-loop collaboration and expert review. Practitioners define methods, approve actions, review assumptions, and own interpretation; agents assist with data preparation, checks, calculations, and documentation.
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