# AeroSight

**Source:** https://www.startuphub.ai/startups/aerosight
**Profile type:** Startup

> AI-powered aerial intelligence platform for infrastructure inspection and monitoring.

## About

AeroSight provides an AI-powered platform that analyzes aerial imagery from drones and aircraft to deliver actionable insights for infrastructure inspection and monitoring. Their technology helps identify defects, assess conditions, and optimize maintenance schedules for assets like bridges, power lines, and railways.

## Key facts

- **Slug:** aerosight
- **Website:** https://aerosight.org/
- **Location:** Tel Aviv, Israel
- **Founded:** 2018-01-01
- **Operating status:** Active
- **Total funding:** $1M
- **Sectors / tags:** Computer Vision, AI Infrastructure, Drone Technology, Infrastructure Inspection, Asset Management, Predictive Maintenance, Generative AI, Spatial Computing

## Frequently asked

### What does AeroSight do?

AeroSight provides an AI-powered platform that analyzes aerial imagery from drones and aircraft to deliver actionable insights for infrastructure inspection and monitoring. Their technology helps identify defects, assess conditions, and optimize maintenance schedules for assets like bridges, power lines, and railways.

### What is AeroSight's revenue?

StartupHub estimates AeroSight's annual revenue at $304K (range $207K to $996K, 28% confidence), based on comparable companies in the sector.

### What is AeroSight's valuation?

StartupHub estimates AeroSight's effective valuation at $3.8M (range $2.5M to $6.0M, 10% confidence), based on comparable companies in the sector.

### How much funding has AeroSight raised?

AeroSight has raised a total of $1M in funding. The most recent round on record is Seed.

### Where is AeroSight headquartered?

AeroSight is headquartered in Tel Aviv, Israel.

### When was AeroSight founded?

AeroSight was founded in 2018.

### What industry does AeroSight operate in?

AeroSight operates in Computer Vision, AI Infrastructure, Drone Technology, Infrastructure Inspection, Asset Management, Predictive Maintenance.

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