Empowering Anticipatory
Climate Action
We are building the first end-to-end anticipatory climate impact management platform that turns data into actions to protect lives, livelihoods and assets
a spin-off company of
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OPAL is a modular SaaS platform for anticipatory and participatory climate action. Combining climate science, AI, data engineering with human expertise and local knowledge, it empowers companies, communities and countries to reduce climate impacts across the full climate risk cycle from Observe and Plan to Act and Learn.
Observe
Plan
Act
Learn
Supported by:
Floods are no longer isolated disasters. They represent a growing global systemic risk.
Global annual direct flood damages
already exceed
Billion
(Ciwem)
of people globally affected by
flooding live in low – and middle-income countries.
(Rentschler et al. 2022)
Since 1980, floods have caused more than
trillion in economic losses worldwide
(World Resources Institute)
disasters triggered by flooding
were recorded in 2024, making them the second most common cause of disasters after storms.
(CRED 2024)
Companies, communities, and countries are not prepared to face future climate impacts
Globally, most responses remain reactive, fragmented, and disconnected from local contexts, leaving institutions struggling to anticipate future risks and protect what is most valuable and vulnerable. Particularly costly is the ”decision gap”, where insights and warnings do not lead to appropriate actions.
Our solution: OPAL, the end-to-end anticipatory climate action platform
Through a place-centric approach, OPAL provides locally relevant insights and tools that enable institutions to plan and act with greater speed and coordination, reducing losses and strengthening resilience over time.
“...investing in disaster risk reduction saves money, saves lives, and lays the foundation for a safe and prosperous future for us all. I urge all leaders to heed that call.”
António Guterres, United Nations Secretary-General — UNDRR Global Assessment Report 2025: Resilience Pays: Investing and Financing for Our Future
OPAL: The End-to-End AI
Platform for Anticipatory Climate Action
While many solutions address specific parts of the chain risk, OPAL’s 4 modules cover the entire lifecycle of climate impact management.
OBSERVE
Data-Modeling & Mapping
- Detailed Mapping: AI-powered descriptive analysis using satellite imagery and open data to map assets, infrastructure, road networks, and populations.
- Risk Monitoring: Continuous, real-time prediction observation of flood risks and potential impacts using advanced climate and geospatial datasets.
PLAN
Human-AI Decision Support System
- Adaptation Strategies: Development of scenarios and adaptation strategies, interventions and investments mobilizing AI and human expertise.
- Capacity Building: Training modules to help local teams and decision-makers understand, interpret, and act on climate risk predictions.
ACT
Intervention and investment management
- Automated response : deployment of digital tools and systems including smart contracts to automate aid distribution, trigger parametric insurance.
- Emergency Response System (ERS): AI-guided management tools for field interventions to improve coordination of actions.
- Alerts: AI-informed multi-channel alert systems delivering actionable guidance in local languages.
LEARN
Continuous Improvement
- Impact Assessment: Post-shock analysis to measure the effectiveness of actions taken.
- Feedback Loops: Data integration to refine models and improve future scenarios.
How OPAL Works :
Data-Modeling & Mapping
Risk Monitoring: Continuous, real-time descriptive observation of flood risks and potential impacts using advanced climate and geospatial datasets.
Human-AI Decision Support System
Capacity Building: Training modules to help local teams and decision-makers understand, interpret, and act on climate risk predictions.
Intervention and Investment Management
Emergency Response System (ERS):Emergency Response System (ERS): AI-guided management tools for field interventions to improve coordination of actions.
Alerts: AI-informed multi-channel alert systems delivering actionable guidance in local languages.
Continuous Improvement
Feedback Loops: Data integration to refine models and improve future scenarios.
Sectors
We serve public and private sector clients facing climate risks that threaten their operational, financial, and societal goals.
Financial services
and fintech
Insurance and risk management
Supply chain
& agrobusiness
Telecommunications
Other climate-exposed industries
National governments
Local authorities
& municipalities
Disaster risk
management agencies
Public sector &
state-owned companies
Humanitarian organizations
& NGOs
International organizations
& development partners
Research & Development
institutions / Think tanks
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Understand their exposure to flood risk across territories and populations
-
Identify vulnerable communities and prioritize areas of intervention
-
Make faster, better-informed decisions before and during climate events
-
Coordinate stakeholders around a shared operational picture
-
Deliver timely and targeted support to affected populations
-
Learn from each event to strengthen future climate preparedness and resilience
OPAL Deployment with Mercy Corps in Senegal
OPAL, incubated by Data-Pop Alliance (DPA), won the 2025 Mercy Corps Ventures’ Anticipatory Action Accelerator out of 230 applications from more than 50 countries worldwide for its AI-powered, community-driven approach to early flood action. The pilot will serve as a replicable foundation for expansion across flood-prone regions in West Africa and beyond. This work also benefited from support from the World Food Programme Innovation Accelerator and the Patrick J. McGovern Foundation.
-
1. The Challenge
-
2. The Solution
-
3. Objectives
Senegal faces recurrent and devastating floods, displacing tens of thousands of people, 56 000 in October 2024 alone. While risk data exists, responses remain reactive due to fragmented information, late warnings, and the absence of mechanisms to release funding before disasters strike.

OPAL is an end-to-end anticipatory action platform that connects risk intelligence to immediate action.
Using AI-powered analysis of high-resolution satellite data thanks to our partner Wasdi, OPAL assesses flood risk severity in real time.
LLM-based decision support transforms complex data into clear recommendations, while blockchain smart contracts automatically trigger anticipatory cash transfers when risk
thresholds are reached.
At the community level, personalized voice alerts in local languages, delivered through Jokalante’s network of 200,000+ users, ensure information and resources reach households before floodwaters rise.

- Significantly improved flood forecasting accuracy
- Drastically reduced aid delivery time and operational costs
- Highly reliable delivery of early warnings and anticipatory cash transfers
- Strong beneficiary trust and satisfaction

About us & team
Emmanuel Letouzé-Lallinec, PhD
CEO
Zinnya del Villar
Data & Technology
Nicolas de Cordes
Strategy & Finance
Angeles Navarro Rueda
Sales
Andrés Lozano
Customer Success
Get in touch!
If you are a potential user, partner or investor, contact us and let our team tell your more about OPAL.