Quantitative Decision Intelligence for Private Markets on QFT - Quantitative Financial Technology

A Purpose-Built Platform for Private Markets Fund Selection

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Mission

Providing an ex-ante, quantitative decision layer for private markets fund investing — combining proprietary benchmarking and institutional-grade analytics to support better decisions before capital is committed.

Decision intelligence — before capital is committed

The QFT Platform supports private markets investors at the most critical point of the investment process: before capital is deployed. It transforms raw fund data into actionable insights through scientifically grounded analytics and proprietary benchmarks, enabling objective, comparable, and defensible investment decisions.

AI Assistant

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The AI Analyst

AI on the QFT platform does not make investment decisions and does not provide investment recommendations. It is a modern interface for interacting with data and analytics. The same way you would ask a colleague to pull a number, summarize a finding, or draft a memo.

AI in Alternative Investments: From Hype to Reality

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Back to Insights White Paper

AI in Alternative Investments: From Hype to Reality

Prof. Dr. Reiner Braun Founder & Strategic Partnerships April 2026

The discourse surrounding Artificial Intelligence (AI) in the financial industry oscillates between doomsday scenarios and hype. Yet beyond the headlines, a clear picture emerges. A second industrial revolution is already underway, including in alternative investments.

CI Kit (Internal)

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This internal page is intended for QFT team members preparing presentations and communication materials.

Company

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Company

Data & Security

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Science & Data

Data Extraction

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Data Extraction

QFT turns unstructured private market documents, such as GP reports, track records, and data rooms, into structured, queryable data. Schema-enforced, human-verified, and ready for analytics.

Datenschutz

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Stand: 17. März 2026

Diese Datenschutzhinweise informieren Sie über die Verarbeitung personenbezogener Daten auf dieser Website sowie im Zusammenhang mit der Nutzung der QFT-Plattform.

1. Verantwortlicher

QFT Analytics GmbH
Münchner Str. 34
83707 Bad Wiessee
Deutschland
E-Mail: alexander@qft-analytics.com

2. Informatorische Nutzung der Website und Hosting

Beim rein informatorischen Besuch der Website verarbeiten wir bzw. unser Hosting-Dienstleister die technisch erforderlichen Verbindungsdaten, insbesondere IP-Adresse, Datum und Uhrzeit des Abrufs, angeforderte URL, Referrer, Browser- und Geräteinformationen sowie Statuscodes. Die Verarbeitung ist erforderlich, um die Website auszuliefern, die Stabilität und Sicherheit des Betriebs sicherzustellen und Missbrauch nachverfolgen zu können.

Discover the Power of Our Solutions.

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Contact

Frequently Asked Questions

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FAQ

Frequently Asked Questions

Everything you need to know about the QFT platform and how it works.

General

What is QFT?

Who is QFT built for?

Fund Diligence

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Before you commit

Fund Manager Rating

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Fund Rating

Fund Manager Rating Methodology

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Fund Manager Rating

How do you know whether a fund manager is genuinely skilled, or mostly benefited from market timing and luck? The QFT Fund Manager Rating applies methods from empirical finance to answer this question with statistical rigor.

Fund Valuation

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Coming Q2 2026

Fund Valuation

Fund Valuation Methodology

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Fund Valuation

Your GP reports a NAV. But what is the fund actually worth? QFT values every portfolio company individually against public market peers, using Monte Carlo simulation to produce a valuation distribution, not a point estimate.

Impressum

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Stand: 17. März 2026

Angaben gemäß § 5 DDG

Anbieter
QFT Analytics GmbH
Münchner Str. 34
83707 Bad Wiessee
Deutschland

Vertreten durch
Dr. Alexander Jürgens

UstId:
DE460616410

Kontakt
E-Mail: hello@qft-analytics.com

Registereintrag
Bitte Registergericht und Registernummer ergänzen, falls ein Handels-, Vereins-, Partnerschafts- oder vergleichbarer Registereintrag besteht.

Umsatzsteuer-Identifikationsnummer gemäß § 27a UStG
Bitte USt-IdNr. ergänzen, falls vorhanden.

Zuständige Aufsichtsbehörde
Bitte nur ergänzen, falls QFT erlaubnispflichtige oder aufsichtsrechtlich regulierte Tätigkeiten anbietet.

Institutional Investors

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Institutional Investors

Liquidity Planning

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Liquidity Planning for Private Markets

Liquidity planning is where private markets portfolio construction becomes operational. Teams do not just decide which funds or archetypes to back. They also need to understand when capital will be called, when distributions are likely to return, and how those flows affect portfolio-level liquidity reserves over time.

QFT turns that planning problem into a structured, transparent workflow. Instead of relying on static pacing rules or spreadsheet heuristics, investment teams can model new commitments, compare funding paths, and see how each decision changes the liquidity profile of the full portfolio.

Pipeline Management

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Why This Matters

A single source of truth for all fund opportunities under review
Configurable stages that match your team's actual decision process
Consistent evaluation criteria applied across every fund
Full audit trail from sourcing to commitment

Portfolio Planning Methodology

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Methodology

Portfolio Planning Methodology

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Methodology

Private Markets Execution — Powered by Data

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Institutional execution without building a large team

QFT Managed Services support investors who want institutional-grade private markets execution without expanding internal resources. We handle fund sourcing, analysis, benchmarking, and portfolio construction — all powered by the same proprietary platform and research used across QFT.

Scope of Services

Fund sourcing and pre-screening
Quantitative fund manager analysis
Proprietary benchmarking and peer comparison
Investment memo preparation
Portfolio construction and monitoring

Systematic, transparent, and aligned

Unlike traditional advisory models, QFT Managed Services are built on a transparent, data-driven decision framework. Clients retain full visibility into how decisions are made, while benefiting from a scalable and repeatable process tested on real capital.

QFT Expands Coverage to 20,000 Proprietary LBO Benchmarks

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Back to Insights Company News

QFT Expands Coverage to 20,000 Proprietary LBO Benchmarks

Dr. Alexander Jürgens Managing Director December 2025

QFT's proprietary LBO benchmark dataset has passed 20,000 deal-level observations. The expansion extends coverage back to the early 1980s and adds deeper coverage across European mid-market, Nordic, and DACH transactions, where published data has historically been thin.

Separating Skill from Luck: A Quantitative Framework for GP Evaluation

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Back to Insights White Paper

Separating Skill from Luck: A Quantitative Framework for GP Evaluation

Prof. Dr. Reiner Braun Founder & Strategic Partnerships March 2026

Manager rankings in private equity have historically suffered from a statistical problem that is rarely acknowledged: fund-level performance is observed with too few data points to reliably separate systematic manager skill from the noise of market exposure, sector tailwinds, and deal-specific luck. This paper introduces the calibration framework QFT uses to decompose observed returns into attributable and non-attributable components.

Single Family Offices

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Single Family Offices

Strategic Asset Allocation

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Strategic Asset Allocation for Private Markets

Strategic Asset Allocation (SAA) is the policy layer of a long-term portfolio. It defines how much risk to take, where to allocate capital across asset classes, and how to keep decisions consistent across market cycles. In private markets, this is especially important because commitment pacing, liquidity, and manager selection are tightly linked.

QFT provides a quantitative SAA framework designed for institutional investors who need more than broad heuristics. The objective is simple: build a private-markets allocation that is robust, comparable, and implementable.

Systematic Private Equity Investing

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Applying decision intelligence to capital allocation

The QFT PE Alpha Fund is a European private equity fund-of-funds that applies the same systematic manager selection engine used in our platform and managed services. The strategy focuses on identifying fund managers with persistent skill while reducing dispersion and downside risk.

From research to real capital

Built on decades of academic research and validated using real investment data, the QFT selection framework emphasizes ex-ante indicators of manager skill, value creation, and risk. The objective is not to chase past performance, but to improve decision quality before capital is committed.

The (No-Longer) Hidden Risk in Illiquid Assets: Time

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Back to Insights White Paper

The (No-Longer) Hidden Risk in Illiquid Assets: Time

Prof. Dr. Reiner Braun Founder & Strategic Partnerships March 2026

The rise of alternative investments has exposed a fundamental gap in how we think about risk. Traditional portfolio theory treats illiquidity as a constraint, something to optimize around. This perspective is incomplete. In illiquid markets, time is the risk.

The Persistence Problem: Does GP Track Record Actually Predict Future Performance?

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Back to Insights Blog Post

The Persistence Problem: Does GP Track Record Actually Predict Future Performance?

Dr. Max Knicker Head of Product November 2025

The intuitive case for backing experienced GPs is strong: if a manager delivered top-quartile returns last time, surely that is informative about what they might deliver next. The academic evidence on this question is more nuanced than the intuition suggests, and the nuance matters for how LPs should approach manager selection.

Three ways to engage with QFT

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QFT offers institutional software designed to support decision-making before capital is committed.

What Investors Get Wrong About Alpha

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Back to Insights White Paper

What Investors Get Wrong About Alpha

Prof. Dr. Reiner Braun Founder & Strategic Partnerships March 2026

Conversations about investment returns tend to collapse everything into a single question: did the manager outperform? The answer is treated as evidence of skill, and skill is treated as the reason to invest. This is too simple.

Why 90% of GPs Remain Unassessed and What That Costs Allocators

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Back to Insights Industry Insight

Why 90% of GPs Remain Unassessed and What That Costs Allocators

Dr. Alexander Jürgens Managing Director February 2026

Public equities have decades of independent, repeatable coverage. Private markets do not. The estimated ten percent of GPs that receive formal third-party research captures the largest brand names, but leaves the rest of the market systematically underdiagnosed at the point of commitment.

Workflow Tools

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Workflow