Accident prevention through AI

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

Safeguard clients

Our partners

The problem we solve

Every day, thousands of people are faced with work-related injuries and safety threats, with an estimated 10 fatal accidents per day in the US alone. Apart from peoples’ livelihoods and health being at stake, the costs of workplace injuries are also immense; with the EU spending an estimated 476.000.000.000 euros each year, despite European working conditions being deemed relatively safe.

Our existing solution

Safeguard’s current App & Dashboard crisis communication platform provides a measurable solution to this problem, enabling small and large organizations such a KPN, BAM and the Amsterdam Arena to manage their safety practices at an operational level, whilst also providing them with accumulated safety data. This safety data is generated for the sake of streamlining safety management processes, enabling cost- and time-saving over the long term.

www.safeguard-app.com

Future solution

Looking forward, sufficient safety-data will enable the development of Safeguard’s AI algorithm. This system will predict potentially hazardous situations and notify company personnel thereof through the existing Safeguard platform, thereby preventing accidents from occurring. Upon wanting to utilise this system to predict accidents within their daily operations, organizations will be required to hold a certain amount of SGT first.

“Each year, countless people get injured at work, affecting livelihoods and costing business owners an average of $2000 a year per employee. By 2022, we aim to reduce such injuries by 20%, saving businesses $400 per employee each year and ultimately making sure that everyone arrives home safely after a day's work”

- Ingmar Vroege, CEO Safeguard

Safety-Data Marketplace

For the sake of gathering such data, a microeconomy and marketplace will be established that enables the buying and selling of safety-data between Safeguard clients and interested organizations (such as insurance companies looking for safety-relevant data). This decentralized Safety Data Marketplace will be built on a blockchain to ensure a safe, secure, transparent and anonymity transaction between buyers and sellers, whilst also excluding the need for third party transaction platforms

Marketplace flow

Whether an insurance company is in need of research data to better understand the safety operations within a particular industry, or whether a safety-training organization requires data and statistics relating to general, everyday safety operations, our platform will provide cross-sectional data sets and data packages at various levels.

The Safeguard Token sale

For this Data Marketplace to function as efficiently as possible, we’re launching the Safeguard Token (SGT). The Safeguard Token (SGT) is an NEP-5-based token with various functionalities, and is a key component of the Safeguard ecosystem.

Find out more about our Token Sale:

As seen on

Blockchain NewsCoin JournalSilicon Canals
Max gives a quick demonstration of the current Safeguard system.
Gertjan talks about the importance of fallbacks in safety systems.
Ingmar talks about the importance of support at Safeguard.
Arjan Pelders explains his involvement in the growth of Safeguard.

Roadmap and Development

  • Q4 2015
    Proof of Concept of the Safeguard platform
    First proof of concept in the Amphia hospital in The Netherlands.
  • Q2 2016
    Alpha version of the Safeguard platform
    First version of our iOS, Android and Web version, available for selected users from Amphia.
  • Q3 2016
    Beta version of the Safeguard platform
    Roll out of the Safeguard platform at Amphia and several other selected clients.
  • Q4 2016
    Public release of the Safeguard platform
    Clients are able to see available emergency responders and can notify them via the platform.
  • Q3 2017
    Sold other ventures
    To work full time on Safeguard.
  • Q4 2017
    Drafting of white paper
    Translating the vision of accident prevention into a white paper for our accident-prevention AI, in combination with the design of a micro-economy in which data can be shared.
  • April 2018
    Pre-sale for Safeguard Tokens
    Start of the private pre-sale. This round will last for 14 days.
  • Q2 2018
    Crowdsale for Safeguard Tokens
    Start of the public crowdsale. This round will last 24 days and is only available for people that completed the white list procedure.
  • Q3 2018
    Alpha & Beta version of API Integrations
    Companies will be able to connect their services to Safeguard. Examples include Fire installments, E-learnings and other HR tools.
  • Q4 2018
    Release of Safeguard API Integrations
    An easy to set up API integration is ready for distribution, enabling Safeguard to expand by contracting and connecting even more partners.
  • Q4 2018
    Alpha version of data marketplace
    Alpha version of the Safeguard marketplace where selected Companies can buy and sell data.
  • 2019
    Expansion in Europe
    Expansion of the Safeguard app and safety-management platform into other European countries.
  • Q1 2019
    Beta version of data marketplace
    Comprehensive testing of the Marketplace with a select group of users.
  • Q2 2019
    Release of the Safeguard data marketplace
    Users are able to buy and sell data via our marketplace with SGT.
  • Q3 2019
    Beta version of the AI prediction model
    Start of investigating the data sets for pattern recognition and development of the learning module of the AI.
  • Q4 2019
    Release of the AI prediction model
    Release of the AI that will recognize risks and informs users about those risks.
  • 2020
    Expansion to North America
    Roll-out into North America of the Safeguard app and safety-management platform. Simultaneously, the AI prediction and prevention model and Safety-Data Marketplace will be introduced into the North American market.
  • 2021
    Expansion to Asia & Africa
    Introduction of the entire Safeguard ecosystem in Asia and Africa, including the app, safety-management platform, Safety-Data Marketplace and AI prediction and prevention model.