
Separate Signals from Noise
i3D Protocol Forecasting Algorithms and
Crowd Expertise for
Intelligent Distributed Due Diligence
i3D Protocol
Scoring & Ranking Start-ups by removing noise and bias from the decision making process
Building Trusted Networks
Secure encrypted Access to Start-Up Data from the Network & facilitation of Reputation
Downstream the Protocol will allow you to Invest in the Upsilon Fund for Capital Preservation and Passive Yields *
i3D Rapid & Arena
i3D Rapid App is a short and quick sentiment analysis that keeps you actively in the network and keeps you informed about new ideas
i3D Arena is a deeper dive by experts into a company – based on Reputation
Simply scoring a company Earns you tokens
A Daily Check-in allows you to Passively Earn
3 Token Solution
i3D Token for due diligence acts as the payment mechanism for rewarding participants in the Network
Upsilon Token * will represent the counterparties pro-rata stake in the basket of alpha start-up investments made when identified by the network
i3D Angel NFT is an encryption mechanism that Controls Access to the data on the platform.
Who?
By joining the i3D Protocol you join a likeminded Network of Experts looking to identify the successful Start-ups of the Future
- The platform is a Marketplace where Founders, VC’s and Angel Investors can have companies/ideas vetted before developing or investing in them
- Tap into your Existing Expertise and Monetize your Opinion about new ideas or start-up companies
- Subsidize your income by Active Participation in your spare time or Passively by a simple daily check-in
- Downstream have the opportunity to be the First to Invest in opportunities identified by the Network
Why?
Early stage investing exists in a poor data environment with a lack of knowledge leading to opportunities being missed
- Investors often make decisions based on cognitive biases and FOMO
- There is often too little time to conduct proper due diligence before making an investment decision
- There are very few standardised ways to compare like with like leading to skewed data
- Retail Investors often miss the opportunity to be the First to Invest in opportunities identified by the Network – a domain usually reserved for the wealthy
How?
Our proprietary three scoring methodology aims to Score and Rank investment opportunities with a like for like protocol
- We use AI based algorithms to automatically score a start-up based on key factors identified
- Factors are the result of analysis of 11,000 companies based on their reasons for failure or success
- Analysts add to algorithms by completing standardised analysis for sentiment based scoring
- Biases and ego are removed with large scale crowd scoring versus cultural or echo chamber analysis
