EVE is a domain-specialized AI system designed to support scientists, analysts, and decision-makers through natural-language interaction.
It provides expert assistance across tasks such as:
- EO and ES knowledge search and summarisation
- Scientific Q&A and policy brief generation
- Document understanding and retrieval
- Technical and educational content creation
- Integration of private EO document collections via RAG
The project unites data curation, model development, evaluation, and deployment to deliver open, reusable tools for Europe’s EO ecosystem.
EVE features an interactive chat platform that allows users to explore and query Earth Observation and Earth Science knowledge through natural dialogue.
The platform is currently under closed access — you can request early registration here.
It is targeted for public release in early 2026.
EVE-Instruct is trained on domain-curated corpora by fine-tuning Mistral Small 3.2 24B, through continued pretraining and instruction fine-tuning.
- The model is optimized for factuality, reasoning, and integration with retrieval-augmented generation.
- Training was carried out using EuroHPC Marenostrum, cloud environments, and Mistral infrastructure.
- Evaluation targets both general domain and EO-specific benchmarks.
All EVE releases follow ESA and EU open-science principles, promoting transparency, reproducibility, and European AI sovereignty.
The project’s outputs—models, datasets, pipelines, and documentation—are shared under permissive open-source licences (Apache 2.0 / CC-BY).
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🌐 Project Website — eve.philab.esa.int
Central hub for project updates, communication materials, and registration for early access to the EVE chat platform. -
🤗 Models & Data — huggingface.co/eve-esa
Repository for domain-specific model checkpoints, datasets, and evaluation benchmarks. -
💻 Codebase — github.com/eve-esa
Open-source tools, pipelines, and scripts developed within the EVE initiative.
Pi School · Imperative Space · Mistral AI · European Space Agency (Φ-lab)
