[PostTGE] Week 22: GraphGrail Ai — analytical system of crypto monitoring, new client and partnership.

09.07- 05.08

Development

What do you think about idea, that you saw in Whitepaper — Crypto and ICO monitoring, the codename is “Crypto Sherlock”?

Value proposition: GraphGrailAi app that collect data about crypto and ico tokens from Twitter to provide real machine-driven data analytics to our users to help make educated decisions on trades, or invest or not in particular ico.

Source of data: twitter accounts of famous experts (Buterin, Binance acc, etc), official ico channels, (300–500 accs). We have collected several thousand tweets already.

How it works: you open a browser, login in account and is able to enter tokens to monitor — bitcoin, ether, or any new token name. 1 week to collect data. Then you come every day to see alerts looks like: “token X has 2 partnerships, 4 github updates and 0 scam alerts in 1 month time period”. You also can browse tweets about this token to read yourself.

Result: you save 2–5 hours to get insights about 5–50 tokens, that is impossible to mine and read manually.

This gives you an ability to decide buy or not.

Important: this is expert service, but not a “money button” to trade with bots via API, so making a decision — it is up to you.

Client segments: traders, ico investors, ico listings (as partnership and upsale).

Where GraphGrailAi comes: user can label data by any high-level concept: scam rumors, github, conference participations, etc — any feature that is useful to make a decision is it good coin or not (but not simple positive-negative sentiment as usual). Then we teach neural network and it works automatically.

Result is the formula where you have a weighted insight and can test hypothesis about credibility of coins on the rapidly evolving market landscape.

We build something better than Cryptomiso with Github commits only, Crypto Fear & Greed Index with no deep sentiment, DigRate with stats only.

We build a truly Ai solution, that dive in understanding of experts opinions, about technology, blockchain, team, development and many more attributes!

New client

We now do a pilot project for big international company with offices in more than 50 countries. Task we solve is important, because we deal with optimization of call-center backoffice. This solution implements our latest development in natural language understanding in the field of text classification. More new are coming (now we are under NDA).

Partnerships

We have completed negotiations with iPavlov team representative. We aim to work together in the field of deep machine learning, conference participation, Ai laboratory, RnD. Agreement we sign will push our project to market and bring new clients and media coverage.

See you in the next newsletter!