Mage
+50%
est. 2Y upside i
Mage develops an open-source data pipeline tool for transforming and integrating data. It integrates and synchronizes data from 3rd party sources. It enables users to build real-time and batch pipelines to transform data using Python, SQL, and R. Users can run, monitor, and orchestrate thousands of pipelines without losing sleep.
Rank
#990
Sector
Data Engineering, AI/MLOps
Est. Liquidity
~5Y
Data Quality
Data: LowGiven incomplete financial data (missing valuation and growth rate), the analysis suggests a moderate expected upside of ~50% over 2 years, but with high uncertainty.
Last updated: July 20, 2026
With strong market adoption and IPO window, multiple expands to 10x, yielding $131M exit. Revenue grows to $13.1M.
Multiple converges to 7x, in line with public comps. Revenue grows to $13.1M.
Competitive pressure from incumbents like Airflow compresses multiple to 4x, yielding $52.4M exit. Preference overhang reduces common upside further.
Preference Stack Risk
severeFunding Intensity
50%With $23.8M in total funding vs estimated $48M valuation, preferred stock represents 49.6% of equity, severely limiting common upside.
Dilution Risk
highWith ~12 months runway, a subsequent round within 2 years is probable, diluting current equity by 15-25%.
Secondary Liquidity
noneNo secondary market activity reported; liquidity likely tied to exit event.
Questions to Ask at the Interview
Strategic questions based on Mage's data — designed to show you've done your homework.
- 1
“How does Mage differentiate from Apache Airflow in enterprise deployments?”
- 2
“What is your path to achieving positive unit economics and when do you expect to be cash flow positive?”
- 3
“How does the equity package compare to public company compensation, given the illiquidity and preference stack?”
Community
Valuation Sentiment
Our model estimates +50% 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.