Evidence before introduction

AI due diligence that sharpens the signal before the first call.

The platform combines submitted information, verification, background context, and AI assessment to give investors and founders a more complete operating picture.

AI due diligence evidence and verification workflow

Direct answer

What is AI due diligence?

AI due diligence uses structured data analysis to organise, compare, and surface relevant information about a company, founder, or investor. At Master Collective, it supports—not replaces—human judgment by strengthening the evidence available before an introduction.

The evidence layer

Four inputs. One clearer picture.

8,000+

Data points per side

Submitted, verified, and contextual signals are connected into a detailed profile.

KYC / KYB

Identity and business checks

Know-your-customer and know-your-business checks help establish who is participating.

Background

Verification context

Relevant professional, corporate, ownership, and risk context is reviewed before matching.

AI

Assessment

The system analyses fit, readiness, gaps, and consistency across the available evidence.

How it works

From submitted information to decision-ready context.

  1. Collect

    Founders provide company materials and a concise video. Investors provide their thesis, mandate, and preferences.

  2. Verify

    Identity, business, and relevant background signals are checked through KYC, KYB, and verification workflows.

  3. Assess

    AI agents compare evidence, identify gaps, and evaluate consistency, readiness, and potential fit.

  4. Connect

    The matching layer uses the enriched profile to identify high-fit investor–founder relationships.

  5. Decide

    Investors and founders remain responsible for every commercial, legal, and investment decision.

Human judgment remains central

Intelligence for the decision—not the decision itself.

The process is designed to reduce avoidable noise and surface relevant questions. It is not an investment recommendation, legal opinion, audit, or substitute for professional diligence.

Direct answers

AI due diligence questions

How many data points does Master Collective collect?

The platform connects more than 8,000 data points per side across submitted information, verification signals, background context, and proprietary assessment.

What checks are included?

The process includes KYC, KYB, background verification, and AI-assisted assessment of relevant evidence, readiness, gaps, and fit.

Does AI make the investment decision?

No. AI organises and analyses information, but investors and founders make their own decisions and should complete any additional professional diligence they require.

How does due diligence improve matching?

Verified and contextualised profiles let the matching system compare more than sector labels, helping it evaluate mandate, stage, geography, readiness, and alignment together.

Is the process a legal or financial audit?

No. It is a platform-level intelligence and verification process, not a legal opinion, audit, valuation, or investment recommendation.

∞Live since July 2025

Intelligence for the decision—not the decision itself.