-100%

est. 2Y upside i

FinTechSeries C

Pave is building the most intelligent compensation platform, powered by the largest real-time compensation dataset on Earth. The platform allows users to make smarter comp decisions and eliminate spreadsheets, powered by real-time integrations with HRIS, ATS, and Cap Table.

Rank

#3792

Sector

Fintech

Est. Liquidity

~2Y

Data Quality

Data: Low

Equity upside is effectively -100% across all scenarios given the extreme 128x revenue multiple and $12.5M revenue base.

Last updated: July 21, 2026

Bull (20%)-100%

Assumes exit multiple expands to 10x (above comp range) on $22M revenue, yielding $220M exit. After 1x preference ($163M) and 20% dilution, common stock returns -100%.

Base (55%)-100%

Assumes exit multiple converges to 5.5x on $22M revenue, yielding $121M exit. Exit below preference stack ($163M) results in total common loss.

Bear (25%)-100%

Assumes exit multiple compresses to 3x on $22M revenue, yielding $66M exit. Preference stack wipes out common stock entirely.

Est. time to liquidity~2.0 years

Preference Stack Risk

moderate

Funding Intensity

10%

Total funding $163M vs entry valuation $1.6B (10.2% ratio), but exit values below $163M trigger total loss for common.

Dilution Risk

high

Cash burn likely necessitates a down round or flat round, diluting common stock significantly.

Secondary Liquidity

none

No secondary market data; stale round and lack of IPO signals suggest no near-term liquidity.

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Last updated: March 10, 2026

Questions to Ask at the Interview

Strategic questions based on Pave's data — designed to show you've done your homework.

  • 1

    “What is the company's ARR and net revenue retention?”

  • 2

    “How do you plan to break into large enterprise HR departments beyond existing customers?”

  • 3

    “Given the 'give-to-get' data model, what prevents a well-funded competitor from replicating the dataset?”

Community

Valuation Sentiment

Our model estimates -100% upside. What do you think?

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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.