Safeguard Token (SGT) ICO

updated 21 September 2018

By predicting and preventing accidents before they can occur, Safeguard ensures that people are able to safely return home after a day’s wor

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Status: ended
Public sale: 07 Jun`18-31 Jul`18
Cap: 2 900 000 USD
Goal: 11 680 000 USD
Price: 1 SGT = 0.1551 USD
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The Safeguard Token

The Safeguard Token (SGT) is a NEP-5-based token with various functionalities, and is a key component of the Safeguard ecosystem.

The problem

Each year, countless people get injured at work, affecting livelihoods and costing business owners an average of $2,000 each year per employee, so a company like Shell spends €184,000,000 annually. Specifically:

Each and every day 1,000 people go out to work and do not return home because they die in a workplace accident – the equivalent of four plane crashes.

Workplace accidents resulting in injury or death result not only in severe hardship for affected families and co-workers, but also lead to drawn-out legal implications for the organization involved.

Current safety solutions are generally outdated (buzzers/pagers, attendance signs, walkie talkies).

More and more IoT solutions are being implemented in different work environments, while there are few systems that collect and use the relevant (safety) data it provides.

An estimated 10 fatal accidents occur per day in the US alone.

The EU spends an estimated €476,000,000,000 each year on the repercussions of workplace safety hazards.

Future solution

By 2022, we aim to reduce workplace injuries by 20%, saving businesses $400 per employee each year. This will be achieved through:

The building of a open source protocol network for the world of safety. A decentralised, not-for-profit platform built entirely on the Blockchain, the Safeguard Protocol aims to facilitate the co-development of a universal safety application that both organizations and individuals can make use of and build upon.

The development of AI, pattern-recognition software that deeply understands the root causes of safety breaches and emergency incidents, eventually predicting them in real time.

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