How CrowdDiligence works

CrowdDiligence is the independent decision layer for equity crowdfunding. It coordinates independent, structured due diligence on offerings under ECSPR and SEC Regulation Crowdfunding, serving two roles: retail investors who use the reports to decide, and DD Leads who structure and publish them. This page describes the full methodology - how DD Leads structure a project, how community assessments are weighted, how AI-Assisted DD drafts are verified, and how the final 0-100 report is produced.

For retail investors

  1. Explore open analyses. Browse active due diligence projects on European ECSPR campaigns and US SEC Reg CF filings. Every analysis is anchored in the issuer's official documents - the EU Key Investment Information Sheet (KIIS) or the US Form C - never in the campaign's pitch deck.
  2. Unlock a project with a one-time fee. Participating in a due diligence project costs a small one-time fee per project - no subscription, no hidden costs. The fee is also a quality filter: it keeps bots, trolls and platform marketing out, so everyone in the room has real skin in the game.
  3. Assess the findings. Rate each finding on a 0-5 scale with a written justification. First-hand knowledge - such as experience with the management team's track record, reference checks or the product itself - is especially valuable, as long as it is stated factually and tied to the relevant finding.
  4. Read the weighted report. Assessments roll into a 0-100 score with a plain-English rating from Critical to Strong. You always see the assessment coverage - how much of the analysis is actually scored - and a "Provisional" mark when relevance questions are still unresolved. Once unlocked, the report stays fully accessible to you.

For DD Leads

  1. Claim a project. Open offerings appear on /up-for-grabs - a European ECSPR campaign or a live US SEC Reg CF filing pulled from EDGAR. The first qualified DD Lead claims it, free of charge, and becomes the named analyst on record. A user can hold up to three active claims at once.
  2. Structure the findings. The DD Lead applies a due-diligence template - a set of weighted topics (Team, Market, Financials, Legal, Product, Operations, Risk, Regulation, Technology) whose weight percentages sum to 100 - and lists specific findings under each topic. A minimum of three topics and five findings is required before admin approval.
  3. Review assessments and decide relevance. The DD Lead reviews the crowd's and the AI's assessments, verifies AI-assisted drafts, and decides whether conditionally relevant findings apply to this specific company. Every relevance decision is logged with its reasoning, so the report stays transparent and auditable.
  4. Publish the weighted report. When quality and coverage requirements are met, the analysis is approved and published as a permanent, citable page that any retail investor can unlock with a small one-time fee.

Scoring, relevance and coverage

Assessments average within each finding, findings roll into topic scores, and topic scores roll into an overall 0-100 score with a plain-English rating: Critical (0-20), Weak (20-40), Mixed (40-60), Solid (60-80), Strong (80-100). A single rating of 0 triggers a critical warning regardless of the average.

Not every finding applies to every company. Findings can be always relevant or conditional. Unresolved relevance is excluded from the score but still counts in the coverage measure, and the project score is marked "Provisional" while relevance questions remain open - so readers can always see how much of the analysis is actually settled.

Bias and AI safeguards

AI-Assisted DD drafts initial findings and assessments at clearly reduced weight until a human verifies them. Members flagged as biased on a specific project - for example, employees or affiliates of the issuer - keep their voice at substantially reduced weight, preserving transparency without letting conflicts distort the score.