Deep Learning AI predicts the cryptocurrency
rates with 70%+ accuracy
Enhance your trading with neural network
with 100,000+ data sources
Made by Former
Learn the key points in 70 seconds
Find out our success factors

Superior Data Collection
Our crawlers gather data from 100,000+ social media sources, 400+ technical indicators and numbers are rising, so our forecasts are as objective as possible.

Deep Learning AI Oracle
Based on the collected data, the neural network predicts the future exchange rate witn an accuracy of 70% and higher. Unlike people, AI is not vulnerable to panic or greed, and constantly improves.

Blockchain Platform for 88,000 users
CRYPTICS will construct a whole ecosystem powered by Ethereum smart contracts. Traders will gain leverage, investors will find asset managers and data scientists will increase their expertise.

Science and Business Expertise
Core team members are math and data science PhDs, former Intel, Alcatel, Nokia, NEC, SAP, Wings workers with average 9,4 years of relevant experience.
Explore our current forecasts (MVP)
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Look deeper into our business model
- In the beginning the revenue is going to be mostly coming from the CRYPTICS forecast engine.
- At later stages new revenue stream will come as a small percentage over profits and/or turnover of fund managers.
- Some revenue may be raised from wallet services for customers of the fund managers and advertisement.
- By the year 2021 we expecting to reach
88.000 users with 1084$ ARPU (Total Revenue 96M$)
Meet the team members and advisory board
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Partners & Trading Venues
Project Roadmap
Concept and Research
- Concept development
- Market research
- Feasibility analysis
Minimum Viable Product
- Core team hiring
- Development and testing of the mathematical models
- Quantitative and non-quantitative data collection
- First forecasts based on ML&DL
- Introduction of MVP
Crowd-sourcing and Production
- Crowd-sourcing campaign
- Further expansion of the team
- AI development for forecast improvements
- Marketing activities all over the world
Automatization and Decentralization
- Trade bot integration
- Development of the decentralized funds infrastructure
- Automatic portfolio management based on KPI forecasts
- Introducing real-time signals from the media
- Launch of the decentralized funds