+50%

est. 2Y upside i

AI & MLSeries A

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: Low

Given 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

Bull (10%)+138%

With strong market adoption and IPO window, multiple expands to 10x, yielding $131M exit. Revenue grows to $13.1M.

Base (55%)+73%

Multiple converges to 7x, in line with public comps. Revenue grows to $13.1M.

Bear (35%)-13%

Competitive pressure from incumbents like Airflow compresses multiple to 4x, yielding $52.4M exit. Preference overhang reduces common upside further.

Est. time to liquidity~5.0 years

Preference Stack Risk

severe

Funding 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

high

With ~12 months runway, a subsequent round within 2 years is probable, diluting current equity by 15-25%.

Secondary Liquidity

none

No 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?

Anonymous. Do not share material non-public information.


Community Discussion

Comments are reviewed before they appear publicly.

0/2000

Loading comments...

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