The Maximos Score is one capability inside a broader investment workspace. It is an analytical aid. The investor remains the decision-maker.

Maximos Score Methodology

Version 2.0 · Last updated March 2026

What the Maximos Score Measures

The Maximos Score is a weighted composite assessment of private market opportunities. It combines 10 independently scored dimensions into a single 0–100 score with a letter grade (A–F). Each dimension is fully transparent — every point is traceable to a specific input, and the contribution of each factor is shown alongside the total.

The score is designed for use in deal screening, portfolio monitoring, and IC preparation. It is a structured, rules-based assessment — not a prediction of returns or a recommendation to invest. It measures the strength and completeness of available evidence about an opportunity.

What It Does Not Measure

The Maximos Score does not predict financial returns, probability of exit, or fund-level performance. It does not assess management integrity, legal risk, or regulatory exposure beyond what is detectable from public signals. It does not replace human judgment — it structures and surfaces evidence to support it.

The score is not a credit rating, a recommendation, or an offer to buy or sell securities. No model output from Maximos should be interpreted as investment advice.

Calculation Overview

Each dimension receives a normalised sub-score (0–100). The total is computed as:

Total = Σ (sub_score_i / 100) × weight_i × 100

Weights are fixed for V2 and sum to 1.00. They reflect the relative importance each dimension carries in a private market diligence context. Weights are not dynamically adjusted per deal — this ensures consistency and comparability across the portfolio.

Evidence Caps

To prevent inflated scores based on thin evidence, two hard caps are enforced:

Data CompletenessScore CapRationale
< 15%50Extremely thin evidence — score cannot exceed C range
< 30%65Insufficient evidence — score cannot exceed B range

These caps are always shown when active. Users can see exactly which evidence gaps are limiting the score and what data would be needed to lift the cap.