About Scoot Science

The startup develops ocean data analysis software that utilizes autonomous underwater vehicles to gather real-time ocean conditions and forecasts. This technology provides marine stakeholders with critical data to enhance logistics and operational decisions, thereby mitigating risks to marine assets.

```xml <problem> Marine stakeholders often lack access to comprehensive, real-time data and predictive analytics regarding ocean conditions, hindering their ability to make informed operational and risk management decisions. Siloed data streams and the absence of integrated platforms make it difficult to gain a holistic understanding of environmental stressors impacting marine assets and operations. </problem> <solution> Scoot Science's SeaState platform integrates diverse data streams, including in-pen sensor data, fish inventory data, and local ocean data, into a unified, web-based dashboard. By combining real-time sensor readings with physics-based ocean and weather models, SeaState provides site-specific ocean forecasts and fish health insights. The platform enables users to monitor site conditions, track environmental stressors affecting fish welfare, and receive timely alerts regarding hazardous ocean conditions, facilitating proactive mitigation strategies and improved decision-making. </solution> <features> - Integration of third-party sensor data, fish inventory, and operational data into a single platform - Real-time monitoring of farm data alongside historical data for comprehensive operational insights - Fish stress analytics to track environmental and operational stressors impacting fish health - Site-specific ocean forecasts derived from sensor data and physics-based ocean/weather models - Customizable SMS and email alerts for hazardous ocean conditions - Industry-standard API for data sharing with other platforms - Embedded workshop tools for accessing and analyzing historical events </features> <target_audience> The primary target audience includes fish farms, aquaculture operations, and marine stakeholders seeking to improve risk management, optimize operations, and enhance the sustainability of their practices. </target_audience> ```

What does Scoot Science do?

Where is Scoot Science located?

Scoot Science is based in Santa Cruz, Philippines.

When was Scoot Science founded?

Scoot Science was founded in 2017.

How much funding has Scoot Science raised?

Scoot Science has raised 6310000.

Location

Santa Cruz, Philippines

Founded

2017

Funding

6310000

Employees

8 employees

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Scoot Science

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Executive Summary

scootscience.com 1K+

Crunchbase

Founded 2017 – Santa Cruz, Philippines

Funding

Estimated Funding

$5M+

Team (5+)

No team information available.

Company Description

Problem

Marine stakeholders often lack access to comprehensive, real-time data and predictive analytics regarding ocean conditions, hindering their ability to make informed operational and risk management decisions. Siloed data streams and the absence of integrated platforms make it difficult to gain a holistic understanding of environmental stressors impacting marine assets and operations.

Solution

Scoot Science's SeaState platform integrates diverse data streams, including in-pen sensor data, fish inventory data, and local ocean data, into a unified, web-based dashboard. By combining real-time sensor readings with physics-based ocean and weather models, SeaState provides site-specific ocean forecasts and fish health insights. The platform enables users to monitor site conditions, track environmental stressors affecting fish welfare, and receive timely alerts regarding hazardous ocean conditions, facilitating proactive mitigation strategies and improved decision-making.

Features

Integration of third-party sensor data, fish inventory, and operational data into a single platform

Real-time monitoring of farm data alongside historical data for comprehensive operational insights

Fish stress analytics to track environmental and operational stressors impacting fish health

Site-specific ocean forecasts derived from sensor data and physics-based ocean/weather models

Customizable SMS and email alerts for hazardous ocean conditions

Industry-standard API for data sharing with other platforms

Embedded workshop tools for accessing and analyzing historical events

Target Audience

The primary target audience includes fish farms, aquaculture operations, and marine stakeholders seeking to improve risk management, optimize operations, and enhance the sustainability of their practices.