# N\.O\.A\.H\.

> Satellite data and AI for crop insurance agents

## At a glance

| Field | Value |
| --- | --- |
| Category | Underwriting & Risk |
| Type | Solutions Provider |
| Region | EMEA |
| Headquarters | EMEA |
| Stage | Startup |
| Employees | 1-10 |
| Funding | Bootstrapped |

## Overview

N.O.A.H. is a satellite data analytics platform for crop insurance agents and brokers serving open-field agricultural markets. The platform processes imagery from over 100 global satellite data sources -- including providers such as Airbus, ICEYE, and ImageSat International -- combined with multi-year climate records and in-season weather feeds to support underwriting and claims workflows for Multi-Peril Crop Insurance (MPCI).

The platform delivers field-level yield predictions through attention-based AI models that ingest satellite imagery and weather data to generate per-field forecasts. The company reports accuracy rates of up to 97% for corn yield predictions. Agents use these outputs to recommend MPCI coverage levels, verify acreage, and expedite claims assessments. Co-founder Sergey Gershun brings prior experience as an ex-Sun software engineer and co-founder of an AdTech startup; the team built a proprietary database aggregating over 100 satellite data sources from providers across multiple continents.

N.O.A.H. signed its first US commercial contract in January 2025, with reported annual recurring revenue potential of USD 75K. The company was simultaneously in negotiations with a major MGA licensed in 48 states and running a prototype design partnership with a crop insurance agency in Kentucky. As of early 2025, it was bootstrapped with USD 900K in committed funding and targeting an additional USD 600K to close a Series A round.

## Products & services

### Field\-Level Yield Prediction Engine

An AI model using attention-based architecture to ingest satellite imagery, in-season weather feeds, and multi-year climate records for generating field-specific crop yield forecasts.

**Key features:**

- Up to 97% prediction accuracy reported for corn
- Ingests multi\-source satellite imagery from 100\+ providers
- Per\-field output aligned to MPCI coverage level recommendations

*Target users:* Crop insurance agents and brokers

### Claims and Acreage Verification

Satellite-based acreage reporting and field verification tooling that automates portions of the loss assessment and claims processing workflow.

**Key features:**

- Automated acreage reporting using satellite\-measured data
- Field boundary verification for claims intake
- Reduced manual processing time for agents and brokers

*Target users:* Crop insurance agents, brokers, and MGAs

### Risk Assessment and Policy Personalization

Field-specific risk intelligence combining satellite vegetation indices with historical climate data to support policy customization for individual fields.

**Key features:**

- Satellite\-measured vegetation indices per field
- Multi\-year climate history integration
- Coverage recommendations tailored to field\-level risk profile

*Target users:* Crop insurance agents and MGAs

## Category & focus

- Subcategories: Crop yield prediction, satellite data analytics, MPCI underwriting support, claims verification
- Insurance verticals: Specialty/E&S, P&C Commercial
- Target customers: Agents/Agencies, MGAs/MGUs

## Notable customers

- Crop insurance agency in Kentucky \(design partner, prototype testing phase as of early 2025\)
- MGA licensed in 48 US states \(in negotiations as of early 2025\)

## Links

- Website: <https://www.noahsat.com>
- Directory profile: <https://insurtechlist.com/companies/noah-agricultural-insurance/>
- Press/news: <https://www.scoutinsurtech.com/post/scout-insurtech-interview-with-n-o-a-h>

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