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

The Safeguard Protocol: An ecosystem that combines Machine Learning and data input sources to predict various types of workplace accidents and hazardous situations. With this system, company personnel can notify others of the prediction through the decentralised Safeguard crisis communication platform, thereby facilitating the outcome of accident pervention.

The Safeguard Protocol will be overseen by the Safeguard Foundation, a not-for profit organization with the mission of universalising safety-tech and making it accessible to as many as people as possible.

“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

The Safeguard Protocol

The Blockchain-based Safeguard Protocol and its associated ecosystem will act as a safety-tech platform which others can use and contribute to. Hereby, organizations and developers are empowered to co-develop particular use cases and specifications on top of the platform’s core functionalities. To achieve this, the current (licensed) Safeguard Platform is going to be converted into an entirely open-source ecosystem. The Safeguard Token (SGT), forms a pivotal part of this ecosystem, enabling users with access to the Protocol whilst facilitating the incentivization of code contributors.

The Safeguard Token sale

The Safeguard Token (SGT) forms a pivotal part of this ecosystem, and is an NEP-5 based token with various functionalities. Within our ecosystem, it enables users with access to the Protocol whilst facilitating the incentivization of code contributors.

Find out more about our Token Sale:

As seen on

Blockchain NewsCoin JournalSilicon Canals
Max gives a quick demonstration of the current Safeguard system.
Albert from Develandoo talks about Safeguard and AI.
Gertjan talks about the importance of fallbacks in safety systems.
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.
  • June 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
    Open Source
    Open sourcing of the current Safeguard platform.
  • Q3 2018
    Alpha version of Oracles framework
    Ability for other developers to create Oracles and connect them to the existing Safeguard platform
  • Q4 2018
    Beta & Release of Oracles framework
    Finalisation of the capability of connecting to and requesting from Oracles.
  • Q4 2018
    Alpha version of the first Safeguard AI Oracle
    Start of investigating the data sets for pattern recognition and development of the learning module of the AI.
  • Q1 2019
    Alpha & Beta of decentralised Safeguard
    Releasing the Alpha & Beta version of Safeguard’s full-spectrum, Blockchain-based decentralised platform.
  • Q1 2019
    Beta version of the first Safeguard AI Oracle
    Beta release of the first Safeguard AI Oracle for accident prediction and prevention.
  • Q2 2019
    Release of decentralised Safeguard
    Releasing Safeguard’s full-spectrum, Blockchain-based decentralised platform.
  • Q2 2019
    Beta & Release of Oracles connection
    Oracles can be connected to the decentralised blockchain platform.
  • Q2 2019
    Release of the first Safeguard AI Oracle
    Beta release of the first Safeguard AI Oracle for accident prediction and prevention.
  • 2019
    Expansion in Europe
    Expansion of the Safeguard app and safety-management platform into other European countries.
  • 2019
    Expansion to Asia
    Introduction of the entire Safeguard ecosystem in Asia, including the app, safety-management platform, Oracles, and AI prediction and prevention model.
  • 2020
    Expansion to North America
    Roll-out into North America of the Safeguard app and safety-management platform. The AI prediction and prevention model will be introduced into the North American market.