Niche: MIS & fraud alert 4 web3 investor portfolio

Niche: MIS & fraud alert 4 web3 investor portfolio

Real-time financial and people analytics of companies for web3 investors to track their portfolio companies

Niche: MIS & fraud alert 4 web3 investor portfolio

Niche: MIS & fraud alert 4 web3 investor portfolio

Real-time financial and people analytics of companies for web3 investors to track their portfolio companies

The problem Niche: MIS & fraud alert 4 web3 investor portfolio solves

Can we build an analytics and early warning/alerting system that could possibly save investors from losing money in FTX kind of incident?

There is very limited transparency today in terms of understanding the cash flow of a project to the investors in the web3 space.

No set protocols and available on-chain data analytics of the people associated with the project

No frameworks and mechanisms to do regular financial and MIS reporting to investors

Non-availability of internal financial, operational, and security controls

Questions the investors are always worried about after the investment are - Is the fund getting utilized properly? As an investor, is there a way I can get regular notifications about the cash flow? Are there any data breaches in the company that could possibly impact the company?

Hence, we decided to build a very exhaustive on-chain analytics and notification system for investors to track their portfolio companies and get real-time notifications onto their preferred channel for any suspicious activities.

Features include:

  1. Onchain Financial dashboards in GAAP for regular MIS
  2. Due-diligence data
  3. On-chain activity and history of the employees
  4. Wallet and notifications analytics for team and protocol
  5. People analytics for breaches
  6. Social medial sentiment analysis and risk monitoring for the key stakeholders
  7. Privacy first and non-custodial
  8. Company to the employees to wallet linkage through internet crawl and manual whitelisting
  9. Regular real-time financial dashboards for investors with notifications
  10. Dark web monitoring for threat detection and breach for projects
  11. Risk scoring for employees and anomaly activity identification

Challenges we ran into

Finding the list of people who works for a company. Find their email addresses, contact details, names, etc. Map them with their wallets. Check in the dark web for their data in case any sensitive data is a breach

Tracks Applied (9)

Push Protocol

Push Protocol

General Storage Track

Protocol Labs

ENS

ENS

StackOS

StackOS

Covalent

Covalent

Safe

Safe

Starton

starton

Shardeum

Shardeum

FVM Track

Protocol Labs

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