Emnotion

Microclimate intelligence platform for NatCat risk modeling and extreme weather forecasting

Data & Analytics Startup Seed

Overview

Emnotion is a climate intelligence solutions provider based in Ness Ziona, Israel, offering high-resolution extreme weather forecasting technology for insurers and other industries where weather risk is material. The company targets carriers and reinsurers with NatCat risk modeling capabilities derived from its proprietary machine-learning climate platform.

The platform aggregates data from over 200,000 virtual weather stations into a neural network trained to detect localized atmospheric variations that can cascade into major weather events. It delivers sub-seasonal and seasonal forecasts -- up to three months ahead -- with a cited spatial resolution of 100 meters, without requiring installation of physical measurement equipment. A custom NLP engine allows business users to query climate impact on operational decisions. Forecasts are designed to remain stable after issuance, supporting early actuarial and strategic planning.

Emnotion entered InNegev technology incubator in 2023 and raised approximately USD 1M in seed funding. Validated customers span defense, chemical manufacturing, international development, and insurance, including the Israeli Defense Forces and UNDP for a four-year crop risk program across Asian agricultural markets.

Products & Services

Climate Impact Intelligence Platform

A microclimate forecasting platform providing sub-seasonal and seasonal predictions of extreme weather events including storms, droughts, heat waves, and floods. The platform integrates data from 200,000+ virtual weather stations via a proprietary neural network and delivers forecasts at 100-meter spatial resolution up to three months in advance.

Key Features

Long-range extreme weather forecasting (up to 3 months; 6 months for defense clients)
High spatial resolution: 100m microclimate granularity
No physical sensor installation required -- data aggregated from third-party and open sources
Hourly-updating hyper-local alert system
Bankable forecasts: stable after issuance, not revised daily
Custom NLP engine for business-facing climate impact queries

Target Users: Insurance carriers (actuarial and NatCat modeling), defense organizations, industrial operators, agricultural programs

Entropy-Frequency Theory (Next Generation Chaos Models)

A proprietary mathematical framework developed by Emnotion that combines quantum and classical physics principles to analyze complex nonlinear systems. Originally the theoretical basis for the climate platform, it is being applied to other domains.

Key Features

Spectral optimization for noisy, nonlinear data
Phase transition and bifurcation analysis
AI/ML neural network optimization via spectral representation
Cryptographically secure key generation (cybersecurity applications)
Economic cycle forecasting

Target Users: Research-oriented organizations; potential licensing to technology and finance sectors

At a Glance

Founded: 2016
Headquarters: Ness Ziona, Israel
Employees: 1-10
Funding: Seed

Category & Focus

Category: Data & Analytics
Subcategories: NatCat Risk Modeling Climate Intelligence Actuarial Tools Weather Risk
Insurance Verticals: P&C Commercial Specialty/E&S Reinsurance
Target Customers: Carriers, Reinsurers

Customers

Israeli Defense Forces (IDF) -- six-month seasonal forecasting for safety risk planning
Israel Chemicals Ltd (ICL) -- chemical plant safety monitoring and severe weather alerts
UNDP (UN Development Programme) -- four-year partnership supporting smallholder farmers in Asia