# Tova Earth -- Full Content Reference

> AI-native water risk intelligence platform. Decision-grade water intelligence for utilities, infrastructure operators, and corporates.

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## Company Overview

Tova Earth exists because the world's most critical water decisions are still made with outdated tools and incomplete information. The company is building the intelligence layer that connects the best available science to the operators who need it most -- so they can act before risk becomes crisis.

### Mission
To build the intelligence layer for a water-secure world.

### Coverage
- 50+ countries covered
- 20+ years of climate data
- 100M+ people in covered watersheds

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## Products

### RiverCloud
AI-native hydrological modelling engine delivering decision-grade water risk intelligence. RiverCloud combines:
- Satellite remote sensing data
- Ground-based sensor networks
- Physics-based hydrological models
- Machine learning and AI
- 20+ years of historical climate data

RiverCloud models water risk for specific operations across 50+ countries, providing granular, location-specific risk assessments that go beyond generic climate scores.

### Pisces
AI co-pilot for water intelligence. Pisces translates complex water science into defensible decisions by:
- Interpreting RiverCloud model outputs in plain language
- Generating risk assessments for non-technical stakeholders
- Supporting regulatory disclosure and compliance reporting
- Enabling scenario planning for drought, flood, and supply disruption

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## Industries Served

### Water Utilities
Operational planning, demand forecasting, supply risk assessment, infrastructure resilience planning.

### Infrastructure Operators
Asset risk assessment, climate adaptation planning, investment decision support.

### Corporates
Water risk disclosure (CDP, TCFD), supply chain water risk mapping, site-level risk assessment, ESG reporting.

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## Technology

Tova's platform sits at the convergence of three domains:
1. **Hydroscience** — Physics-based models grounded in decades of academic research
2. **AI/Machine Learning** — Pattern recognition and prediction at scale
3. **Earth Observation** — Satellite and remote sensing data integration

This convergence enables decision-grade intelligence that is both scientifically rigorous and operationally actionable.

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## Team

### Leadership
- **Dr Alexa Bruce** — Co-Founder & CEO
- **Prof Casey Brown** — Co-Founder & Chief Science Officer
- **Chris Bull** — CTO

### Core Team
- **Dr Baptiste François** — Science Director
- **Dr Sina Jahangir** — Senior Hydrologic Scientist
- **Nicolas Nemtala** — Founders Associate
- **Matheus Miranda** — AI Engineer

### Advisory Board
World-leading hydroscience academics, former C-suite executives, conservation leaders, and proven go-to-market operators:
- Prof Upmanu Lall
- Fred Boltz
- Jeff Seabright
- Prof Colin Gleason
- Emily Ross
- Prof Scott Steinschneider
- Thomas Schreiber

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## Key Differentiators

1. **Science-first approach**: Built by hydrologists and climate scientists, not just software engineers
2. **Decision-grade output**: Goes beyond risk scores to provide actionable intelligence
3. **AI-native architecture**: AI is core to the platform, not bolted on
4. **Global coverage**: 50+ countries with localised hydrological models
5. **Operationally focused**: Designed for operators who need to make decisions, not just researchers

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## Contact

- Website: https://tova.earth/
- Demo: https://tova.earth/demo
- About: https://tova.earth/about