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Synthetic NAV for
private markets.

AltVal re-marks private-market portfolios daily using alt-data — transaction panels, web traffic, headcount, geospatial. We anchor at the GP's lagged quarterly mark and project forward via sector-specific factor models, with confidence bands and driver decomposition. Best backtest cohort R² 0.76, ~50 days of lead over the official report cycle.

0 Portfolio companies in the demo
0 Best cohort backtest R²
0d Lead vs GP report cycle
0 Sectors covered (consumer · SaaS · industrial)

GP marks lag. Alt-data doesn’t.

Private-market portfolios are still revalued quarterly, on a 45–60 day appraisal cycle, with smoothing built in. The economic state of each company has already moved — usually visibly, in card-transaction panels, web traffic, headcount, port and facility activity. AltVal closes that gap.

Daily synthetic NAV

Every portfolio company gets a fresh mark each day, anchored on the GP’s last reported quarter and projected forward via sector-specific factor models. Confidence bands and driver decomposition included.

LP smoothing analysis

Quantifies how much reported NAV is artificially smoothed by appraisal-based marking. Outputs an info-asymmetry alpha (bps captured by leading the official mark) and a volatility-adjustment vs the reported series.

The data hierarchy. By sector.

Different sectors leak information through different signals. AltVal uses sector-specific factor models trained on the most predictive alt-data feeds for each.

01

Consumer / B2C

Anonymised credit/debit transaction panels are the gold standard. Aggregated card-tx data correlates with quarterly revenue at R² > 0.9 for mid-market retail. Augment with foot-traffic geospatial and app DAU.

  • Card-tx panels
  • Unique customers
  • App DAU
  • Foot traffic
02

Enterprise SaaS

Web traffic + technographics + LinkedIn talent flows. A 10% engineering-headcount drop is a leading indicator of operational distress months before it shows on the P&L. Tech-stack churn flags impending customer loss.

  • Web uniques
  • Headcount
  • Technographics
  • Paid-account proxy
03

Industrial / Infrastructure

Geospatial intelligence — satellite imagery of parking lots, oil-tank floating lids, port and rail activity — gives physical “ground truth” that precedes any financial reporting. Best signal-to-noise of the three sectors in our backtests.

  • Geospatial
  • Port visits
  • Facility utilisation
  • Employee swipes

Backtested. Per cohort.

Out-of-sample walk-forward backtest vs simulated ground-truth revenue across 25 portfolio companies in 3 simulated funds. 30-day step, 18 periods. Industrial / geospatial is the cleanest signal cohort; consumer-tx tracks well; SaaS is noisier and cohort-dependent.

0 Best cohort R² (industrial)
0% MAPE (best cohort)
0d Lead vs GP report cycle
0 Companies in the live demo

Disclaimer: Backtest figures are computed against simulated ground-truth revenue inside the demo’s synthetic universe; they illustrate engine behaviour, not real-world accuracy on third-party portfolios. Past performance, simulated or live, is not indicative of future results. Nothing on this page is investment advice or an offer to sell securities.

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