🌿 SereniA

> Climate risk intelligence, powered by geospatial AI

🌍 What we do

SereniA combines climate science, geospatial data, and AI-assisted workflows to help financial institutions, insurers, and asset managers screen physical hazards and understand exposed portfolios.

We turn raw climate projections into actionable risk indicators — so you can make decisions before the storm hits.

🛰️ Platform modules

• Physical Hazard Core

  • Multi-hazard geospatial intelligence
  • Floods, heatwaves, droughts, windstorms, landslides

• Assets & Portfolios

  • Exposure scoring at scale across workspaces and geographies

• Document Vault

  • Auto-ingestion, extraction, and AI synthesis of risk documents

• AI Analyst

  • Assisted reporting and natural-language risk narratives

📊 The VIAN scale

We standardize physical risk exposure through the VIAN indicator (0–3):

• 0 — Negligible exposure
• 1 — Moderate, monitoring advised
• 2 — Significant, mitigation recommended
• 3 — Critical, immediate action required

🤗 On HuggingFace

This organization hosts open models, datasets, and tools that power our climate risk pipeline.

• 🧠 Models — Fine-tuned geospatial and NLP models for hazard detection and document analysis
• 📁 Datasets — Curated climate projection and exposure datasets
• 🔧 Tools — Reusable scripts and preprocessing pipelines

👥 Team

Founded by:

• Edward Romero, PhD — Climate & geospatial science
• Nacim Belkhir, PhD — AI & machine learning
• Carlos Salazar — Engineering & product

🔗 Links

• 🌐 Website: serenia.eu
• ✉️ Email: contact@serenia.eu
• 💼 LinkedIn: SereniA

© SereniA — Climate risk intelligence