Neurogress (NRG)ICO Mechatronic systems control via neural interface. IMPORTANT: By investing in this business you agree to ourDisclaimer. All information including our rating, is provided merely for informational purposes. CryptoTotem does not provide investment advice. |
Overview
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What is Neurogress
Neurogress is aimed at developing the whole AI-based neurocontrol ecosystem which is going to combine the global interaction of clients, software and hardware developers, designers, artists, technology enthusiasts, philanthropists. The created ecosystem will help improve neurocontrol of other gadgets, including household appliances and entire standalone systems such as drones, robots, augmented reality devices and other mechatronic devices.
DetailsPre-sales: Feb 10, 2018 - Mar 10, 2018Token supply: 50000000 Soft cap: 7,000ETH LegalOffice address: Chemin des Mines 9 Geneva, 1202 Switzerland | Token infoTicker: NRGType: Utility-token Token standard: ERC-20 Token price in ETH: 1 Token = 0.001432 ETH Accepted currencies: ETH, BTC Bonus program: When purchasing project tokens during the Private Placement stage, participants receive an additional bonus to TGE base price of 200%. During the pre-TGE stage this will be 50%. At the TGE stage bonuses will be distributed as follows: First 6,450,000 tokens - 20% bonus Second 6,450,000 tokens - 15% bonus Third 6,450,000 tokens - 10% bonus Fourth 6,450,000 tokens - 5% bonus. Token distribution: 50% - TGE 10% - Investments 10% - Developers 5% - Additional experiment directions 15% - Developers and members of the board 10% - Contingency Funds allocation: Software development (neurocontrol system) - 32.5% Administrative - 9.8% Marketplace development - 10.5% Ecosystem development - 15.9% Support of development community - 11.6% Consulting services and outsourcing - 6.4% Marketing campaign - 13.3%. |
Neurogress Roadmap
Testing of neurocontrol software on a dummy prosthetic arm; statistical data gathering for neuro-control software.
Testing of neurocontrol beta version software on mini-robots; start of neurocontrol software integration into robotic arm; statistical data gathering for neuro-control software.
Testing of neurocontrol beta version software on conscious movements of mini-robots; statistical data gathering for neuro-control software based on AI.
Start of robot-android hardware development; statistical data gathering for neurocontrol software based on AI.
Testing of neurocontrol beta version software on 4 movements of a dummy prosthetic arm; development of optimal construction of prosthetic arm.
Testing of neurocontrol beta version software on 4 movements of a dummy prosthetic arm; development of optimal construction of prosthetic arm.
Conducting additional experiments for data gathering to train AI in the neurocontrol software.
Testing of neurocontrol beta version software on 8 movements.
Prosthetic arm testing.
Testing neurocontrol system on drones.
The developers access to the Neurogress API or to the entire code (open source), if the project collects sufficient funds during the TGE phase.
Testing software on a sample game robots through numerous conscious movements;
Launch of the commercial version of the neurocontrol software.
Launch of the Neurogress online platform; testing neurocontrol software for 28 movements.
Beta synchronization with phones, tablets, gadgets (IoT).
Launch of neurocontrolled prosthetic hands in collaboration with a manufacturer.
Developers' access to the API to start development with all kind of mechatronic gadgets.
Testing the beta version of the neurocontrolled robot-android in collaboration with a manufacturer; introduction of neurocontrol management of objects on various screens.
Testing software with various household appliances.
Beta version designer tool launch for assembling various neurocontrolled gadgets.
Testing the intelligent house management solution based on the Neurogress platform's ecosystem.
Testing of neurocontrol system in conjunction with VR/AR/MR
Introduction of neurocontrol for driving purposes.
Q2 Adding a marketplace for algorithms and algorithms training.