Brightcon 2026, hackathon and courses

Highlights / Discussion Points
- Why and how it was built, its architecture and what it allows today.
- Demo of an inventory/impact calculation, hotspot analysis and a what-if substitution scenario
- How it was used for Ecobalyse
- Openings on the real needs of the LCA sector : data

Concise Description
For fun and continuous learning, I wrote a brand new LCA software from scratch using AI. Volca is early and still read-only but already has all the buzzwords embedded: API-first, Cloud-native, AI-native, scriptable, small, fast, stable, open-source. Agribalyse 4.0 will be used to showcase an inventory, impact and hotspot calculation, and instant result on a substitution scenario.

It was used to generate hundreds of transformed ingredients for the french brightway-based Environmental labeling platform Ecobalyse and to reverse-engineer Agribalyse 4.0. It offers an alternative comparison point for LCI and LCIA results.

Following the AI revolution, the hard part is not writing software anymore: the pain point is DATA : collaboration, collection, sharing, aggregation, traceability, compatibility. This is where the real trailhead begins.