Measurement Products
All of our products plug into each other on the back end. We handle the data on our side, with no reflow and no inefficiency in how we process it.
Alts-Align
Daily Valuation
A top-down nowcast of fund NAVs, each business day.
- We manage holdings level accuracy in a fully automated process.
- We monitor expressly for signal of credit decline.
- We have particular strength in private credit and private equity.
- FEV estimate
- 128.7
- GP mark
- 126.4Q1 26
- Market proxy
- 127.0
- As of
- Reported
- GP mark
- FEV estimate
- FEV vs GP mark
- FEV estimate
- GP mark
- Market proxy
Rune
Data Extraction
Private-markets data arrives in documents: PCAPs, schedules of investment and fundamentals. Rune turns them into data that feeds our other products.
Click any number and see the exact page, and the exact box on that page, it was read from.
Huginn
Global News Harvesting
FEV continuously monitors filings and global news sources, filtering signal from noise and surfacing developments that may materially impact company valuations.
- Portfolio monitoring
- Due diligence and risk
- Reputational risk alerts
Talk to your data in natural language
- Question:
How did the SaaS markdown affect my portfolio?
- Answer:
Our daily estimates for these five funds moved most over the last month.
Top 5 Contributors to Returns08 May 2026 to 08 Jun 2026- Tarnwick Credit III+14.2%
- Umberlane Direct Lending+12.5%
- Quarrydale Lending V−12.1%
- Kestrow Special Credit+9.7%
- Hallowfen Direct Lending−6.5%
- Question:
Which holdings are behind the largest fall?
- Answer:
Three SaaS holdings account for most of the fall, and we value each one daily against its own proxy.
Share of the Fall by Holding08 May 2026 to 08 Jun 2026Quarrydale Lending V−12.1%
Talking to your data in natural language
Ask a question the way you would ask an analyst, and the answer comes back as a table or a chart.
Downloading plugins
Take the data into the tools your team already works in.
Beautiful visualizations
Every estimate drawn as a chart you can read at a glance and trace to its holdings.
PDFs to Valuation. The Full Stack.
Built to read the messy reality.
Private markets don't send tidy data. Our extraction layer is built to read what they do send, and is validated on real client documents.
Valuation as code. Not AI.
Every business day. Every holding. Fully automated with proprietary deterministic models.
Extraction, valuation, analytics. One service.
Three layers on one managed platform. No installation. No vendor stitching.
Questions
- How do the products work together?
- They plug into each other on the back end. The data is handled seamlessly on our side, with no reflow of the data between them.
- Where is FEV strongest?
- We have particular strength in private credit and private equity, and in private credit we monitor expressly for signal of credit decline.
- Who uses each product?
- Valuation and operations teams use Daily Valuation, operations and data teams use Data Extraction, and investment, monitoring and risk teams use Global News Harvesting.
Why FEV
If it is not automated, then it's not scalable.
We are technology-native, for objectivity, measurability and scalability.
We measure at the holdings level, for a smaller difference against the GP actuals, better volatility metrics, lower true-ups and better look-through.
Breakthrough technology. Disruptive pricing.
The fastest way to judge a valuation method is to watch it run on a real portfolio. We'll price one of yours.
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