Science & Data
Applying Science to Private Markets.
We are an LP analytics company. We picked a side: yours. Every product we build helps limited partners make better-informed decisions about commitments, investments, portfolio construction, and liquidity management.
Our analyses are not based on opinion, heuristics, or marketing metrics. They are based on peer-reviewed research, proprietary deal-level data, and statistical methods that separate signal from noise.
Where we come from
QFT is a spin-off of the Technical University of Munich (TUM) , one of Europe's leading research universities. The founding team comes from the Center for Entrepreneurial and Financial Studies (CEFS) , which has built one of the largest academic research programs for private markets analytics over the past two decades.
The research group behind QFT, altqnt.com , continues to publish in top finance journals and maintains close ties with CEFS. This is not a startup that discovered private equity last year. It is the commercialization of 20 years of focused research.
Science for the decision. AI for the process.
We use science and AI for fundamentally different things. Conflating them is a mistake we see across the industry.
Better decisions
Science
The methodologies behind our ratings, valuations, and portfolio optimizations are rooted in empirical finance. Bootstrap testing, Monte Carlo simulation, replicating portfolios. Published in or built on research from top journals such as the Journal of Finance. Auditable. Reproducible. No black boxes.
This is what makes the output trustworthy.
Faster process
AI
AI extracts data from GP documents, lets you interact with your analytics through natural language, and generates IC memos and reports. It does not make the investment decision. It makes the process of getting to that decision dramatically faster.
This is what makes the process scalable.
What AI does on the platform
We use AI where it creates real efficiency gains, not where it sounds impressive. Three concrete roles:
Data Extraction
From PDF to structured data
GP quarterly reports, financial statements, track records. AI extracts the numbers, maps them to our schema, flags inconsistencies. Human-verified before any calculation runs.
Analytics Interaction
Ask questions in plain language
"Which fund has the highest write-off rate?" "What drives this GP's rating improvement?" "Name three concerns for the GP call." The AI Analyst knows your data and the methodology behind it.
Report Generation
IC memos in minutes, not days
Structured investment committee memos based on the actual analytics. Consistent format, backed by data, ready for review. The analyst reviews and edits, not writes from scratch.