COMPANY PROFILE

Hypermeteo

Hypermeteo fills the climate data quality gap, transforming complex observations into reliable insights for real business decisions

Rome, ItalyFounded 2021Fintech

Valuation $5–10M Last recorded · 2025

Headcount <100 Current team size

Total funding $0–10M Disclosed equity funding

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About Hypermeteo

Hypermeteo develops and provides high-quality, high-resolution weather and climate data through a powerful API-based platform. By analyzing observations on detailed territorial grids, the company provides historical, real-time, nowcasting and forecasting data, risk assessments, early warning systems, and future climate projections that support informed decision-making.

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These insights enable companies and organizations to integrate climate intelligence into their business planning, enhance operational capabilities, manage climate-related risks, and adapt to climate change, ultimately helping to reduce climate-driven impacts and losses across sectors such as energy, insurance, infrastructure, finance, agriculture, and urban planning.

Source: Dealroom company data

At a glance

Status: Operational
Founded: 2021
Headquarters: Rome, Italy
Employees: 23
Open positions: None listed
Dealroom signal: 84.8/100
Industry: Fintech
Sub-industry: Clean Energy, Oil & Gas, Energy Providers, Water, Insurance
Sector: Fintech, API, Weather Forecasting, Sustainable Development Goals, Climate Risk
Technology: Artificial Intelligence, Deep Tech
Business model: SaaS
Client focus: b2b
Links: Website LinkedIn

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Funding history

1 recorded event

Company financing events and reported valuations.

Deal type	Date	Amount	Valuation	Investors	Source
SEED✓Equity / VC	Dec 2025	$1.4M	$5.7M	BF · Terna	↗

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Growth signals

Hypermeteo website traffic

Latest recorded traffic for Hypermeteo is 13K monthly website visits, up 490.9% over the last three months. Hypermeteo's team grew 130% over the past year.

Latest monthly visits13K 3-month web change+490.9% 1-year team growth+130%

Monthly website visitsOct 2022–Jul 2026

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EOEoliannLaverages satellite data and proprietary ML algorithms to forecast the probability and impact of specific climate risk events to improve insurance policy creation and prudential disclosure on ESG risks	Turin, Italy	Operational