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Legal Neural Networks by LawTest (LT1)
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SUMMARY
| Type: | Pre-ICO | |
| Category: | Artificial intelligence | |
| Verified team: | Yes (Members: 2) | |
| Whitelist of investors: | Yes | |
| KYC of investors: | Yes | |
| Goal of funding: | 3 000 000 USD | |
| Tokens for sale: | 40 000 LT1 | |
| Token price: | 1 LT1 = 0.009 BTC | |
| Minimum purchase: | 1.00 LT1 | |
| Maximum purchase: | 40 000.00 LT1 | |
| Airdrop program: | No | |
| Bounty program: | Yes | |
| Have escrow agent: | No | |
| Have working prototype: | Yes | |
| White paper: | Open | |
| Currencies: | EUR, BTC, ETH, XRP, BCH, EOS, LTC, NEO, DASH, XEM | |
| Platform: | Ethereum | |
| Token type: | ERC20 | |
| Location: | Estonia | |
| Website: | https://token.lawtest.org | |
| Links: |
DESCRIPTION
Your personal Neural Network for the document fill out
FUNDING INFORMATION
Start time
2018
Oct 27th
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0
:
0
0
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0
0
End time
2018
Nov 15th
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0
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0
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:
0
0
Percentage of completion
Distribution
| ● | bounty companyparticipants | 2.50% |
| ● | consultants on the site | 5.00% |
| ● | information support of our developments | 12.00% |
| ● | scientific support of our developments | 11.00% |
| ● | completion of the prototype | 28.00% |
| ● | attract experts to train neural networks | 34.00% |
| ● | on the scalability of the current business | 7.50% |
Bonuses and discounts
| ● | 27.10.2018: | 18 |
| ● | 28.10.2018: | 16 |
| ● | 29.10.2018: | 14 |
| ● | 30.10.2018: | 12 |
| ● | 31.10.2018: | 10 |
| ● | 01.11.2018: | 8 |
| ● | 02.11.2018: | 6 |
| ● | 03.11.2018: | 4 |
| ● | 04.11.2018: | 2 |
| ● | 05.11.2018: | 1 |
MEDIA
ROADMAP
Jun 2009 Beginning of developments
Jun 2016 Neural Networks work started
Dec 2017 Experimental training RNN
Feb 2018 Opening of the company. TK for the prototype.
Jul 2018 Prototype development
Nov 2018 Alpha version of the program
Dec 2018 The second round of Token Sales
Aug 2019 Full launch of the program and business
Dec 2019 The first competition of Lawyers and neural networks
May 2020 The development of business and the beginning of the redemption of tokens
TEAM
STATISTICS
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