Data points per side
Submitted, verified, and contextual signals are connected into a detailed profile.
Evidence before introduction
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
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
Submitted, verified, and contextual signals are connected into a detailed profile.
Know-your-customer and know-your-business checks help establish who is participating.
Relevant professional, corporate, ownership, and risk context is reviewed before matching.
The system analyses fit, readiness, gaps, and consistency across the available evidence.
How it works
Founders provide company materials and a concise video. Investors provide their thesis, mandate, and preferences.
Identity, business, and relevant background signals are checked through KYC, KYB, and verification workflows.
AI agents compare evidence, identify gaps, and evaluate consistency, readiness, and potential fit.
The matching layer uses the enriched profile to identify high-fit investor–founder relationships.
Investors and founders remain responsible for every commercial, legal, and investment decision.
Human judgment remains central
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
The platform connects more than 8,000 data points per side across submitted information, verification signals, background context, and proprietary assessment.
The process includes KYC, KYB, background verification, and AI-assisted assessment of relevant evidence, readiness, gaps, and fit.
No. AI organises and analyses information, but investors and founders make their own decisions and should complete any additional professional diligence they require.
Verified and contextualised profiles let the matching system compare more than sector labels, helping it evaluate mandate, stage, geography, readiness, and alignment together.
No. It is a platform-level intelligence and verification process, not a legal opinion, audit, valuation, or investment recommendation.
∞Live since July 2025