# Celest Science

> Climate risk forecasting platform for insurers, energy companies, and agricultural businesses

## At a glance

| Field | Value |
| --- | --- |
| Category | Underwriting & Risk |
| Type | Solutions Provider |
| Region | EMEA |
| Headquarters | Paris, France |
| Founded | 2023 |
| Stage | Startup |
| Employees | 11-50 |
| Funding | Seed |

## Overview

Celest Science is a climate risk AI platform for insurers, reinsurers, and other industries exposed to extreme weather. Founded in Paris in 2023 by Dr. Leo Lemordant and Professor Pierre Gentine, the company applies physics-informed machine learning to forecast extreme weather events and assess physical climate risks. Its models analyze interactions across atmospheric, oceanic, land, and cryosphere systems to produce probabilistic forecasts spanning two weeks to six months -- a range known as sub-seasonal to seasonal (S2S) -- rather than relying solely on historical data.

The platform is delivered as a cloud-based API service, enabling integration with insurance platforms and decision-support systems. Celest Science reports 20% better predictive performance compared to comparable solutions, attributed to its deep learning and physics-informed AI approach that bridges short-term weather prediction with long-term climate risk scenarios. Sectors served include insurance, reinsurance, energy, and agribusiness.

The company raised a EUR 2M seed round in May 2025 led by Plug and Play and astorya.vc, with five additional investors. It has engaged Zurich Insurance as a collaboration partner and was selected for the Allianz AI accelerator programme in 2025, indicating early traction with major European carriers.

## Products & services

### Sub\-Seasonal to Seasonal \(S2S\) Climate Forecasts

Probabilistic climate forecasts covering two weeks to six months, delivered via API. Models incorporate atmospheric, oceanic, land, and cryosphere data to identify physical drivers behind extreme weather patterns. Output includes uncertainty quantification to support risk-based decision-making.

**Key features:**

- Physics\-informed AI modeling beyond historical data
- Multi\-system Earth analysis covering atmosphere, ocean, land, and cryosphere
- Probabilistic forecast output with uncertainty quantification

*Target users:* Insurers, reinsurers, energy companies, agricultural businesses

### Physical Risk Assessment Platform

A climate risk assessment tool for evaluating physical risks from extreme weather and climate change. Includes catastrophe modeling (CatNat) capabilities tailored to insurance and financial risk evaluation.

**Key features:**

- Catastrophe modeling for insurance portfolios
- Extreme weather exposure assessment
- Integration with financial risk frameworks

*Target users:* Carriers, reinsurers, financial institutions, public bodies

### Climate Risk APIs

API-based access to climate risk data and forecasting models, enabling integration with third-party insurance platforms and decision systems.

**Key features:**

- REST API delivery
- Modular data access for different risk sectors
- Compatible with insurance software platforms

*Target users:* Insurers, energy companies, agribusiness operators

### Custom Risk Analytics

Sector-specific analytics for reinsurance risk assessment, energy demand and production forecasting, and agricultural adaptation planning.

**Key features:**

- Reinsurance portfolio risk analysis
- Energy sector demand and supply forecasting
- Agricultural production scenario modeling

*Target users:* Reinsurers, energy companies, agribusinesses

## Category & focus

- Subcategories: Climate Risk Modeling, Physical Risk Assessment, Catastrophe Modeling
- Insurance verticals: P&C Commercial, Specialty/E&S, Reinsurance
- Target customers: Carriers, Reinsurers

## Notable customers

- Zurich Insurance \(collaboration partner\)
- Allianz \(AI accelerator participant\)
- Amazon \(AWS Startup Alliance\)
- European Space Agency \(ESA\)
- CNRS \(Centre National de la Recherche Scientifique\)
- BPI France

## Links

- Website: <https://www.celest.science>
- Directory profile: <https://insurtechlist.com/companies/celest-science/>
- Linkedin: <https://www.linkedin.com/company/celestscience>

---

*Last updated: 2026\-06\-25*