Seongick CHO
CEO
TC
TelePIX Co., Ltd.
The startup develops nanosatellite systems that analyze space-based data to predict potential damages from natural disasters and other threats. By providing timely information, the company enables clients to protect their properties and assets from future risks.
- Data & Analytics
- Clean Technology
- Software Only
Updated 21 months ago
Funding
Raised to date
$16.7MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Current methods for predicting natural disaster damage rely on traditional data sources, which can be slow to process and may lack the granularity needed for accurate risk assessment. This can lead to inadequate preparation and response, resulting in significant property damage and economic losses.
Solution
TelePIX utilizes nanosatellite systems equipped with high-resolution multispectral imagery to provide timely and granular space-based data for predicting potential damage from natural disasters and other threats. The company's platform, telePIX, offers a suite of products including BlueScope, Chouette, TetraPLEX, and BlueBON, each designed to extract specific insights from space-based imagery. By analyzing this data, TelePIX enables clients to proactively protect their properties and assets by providing timely information and risk assessments.
Target Audience
The primary customers are organizations and individuals who require timely and accurate predictions of natural disaster damage to protect their properties and assets.
Features
- High-resolution multispectral satellite imagery for detailed Earth observation
- BlueScope: Undisclosed functionality related to space-based data analysis
- Chouette: Undisclosed functionality related to space-based data analysis
- TetraPLEX: Undisclosed functionality related to space-based data analysis
- BlueBON: Undisclosed functionality related to space-based data analysis