-79%

est. 2Y upside i

DevOps & InfraSeries A

Automating manual and repetitive data engineering tasks with AI

Rank

#3531

Sector

Data Infrastructure and Analytics

Est. Liquidity

~4Y

Data Quality

Data: Medium

Datafold presents a risky equity opportunity for a job seeker.

Last updated: March 10, 2026

Bull (15%)+250%

Datafold's AI-powered migration and validation technology gains significant market traction, capturing substantial market share from legacy tools and outperforming competitors like Monte Carlo. Revenue accelerates to $60M+ by 2028, justifying a $350M+ valuation at a healthy multiple, leading to a strategic acquisition.

Base (30%)+75%

Datafold maintains its niche in proactive data quality and CI/CD testing, growing steadily but facing intense competition from incumbents like Databricks and well-funded players like Monte Carlo. Revenue reaches $25M by 2028, leading to an acquisition at a $175M valuation, providing a modest return for common shareholders after preferences.

Bear (55%)-85%

Increased competition from dominant incumbents like Databricks integrating similar features, coupled with the prior employee churn, stifles Datafold's growth. Revenue stagnates around $5M, leading to a down round or an acquisition below $27.3M, effectively wiping out most common stock value due to liquidation preferences.

Est. time to liquidity~3.5 years

Preference Stack Risk

high

Funding Intensity

27%

Investors hold $27.3M in liquidation preferences. In an exit at the current $100.1M valuation, common shareholders would effectively see their equity valued at $72.8M, representing a ~27% loss on their initial 'paper' valuation. In a down round or acquisition below $27.3M, common shareholders would receive nothing.

Dilution Risk

moderate

As a Series A company, it is likely to pursue additional funding rounds, which will lead to further dilution for existing equity holders.

Secondary Liquidity

limited

While a secondary market valuation of $100M is noted, there is no indication of active secondary liquidity or tender offers for employees.

Other — 1 role

  • Careers · How did you hear about Datafold?
View all 1 open roles at Datafold →

Last updated: March 10, 2026

Questions to Ask at the Interview

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

  • 1

    “How does Datafold plan to differentiate and compete effectively against the expanding data quality and observability offerings from large incumbents like Databricks and well-funded direct competitors such as Monte Carlo?”

  • 2

    “Given the estimated $4M in revenue and the $100.1M valuation, what is the company's strategy for achieving significant revenue growth and improving capital efficiency to justify future funding rounds or an exit?”

  • 3

    “With the reported 22% decrease in employee count last year, how is the company addressing team growth, retention, and scaling its operations, and what is the expected timeline for a liquidity event for employees holding common stock or options?”

Community

Valuation Sentiment

Our model estimates -79% 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.