+75%

est. 2Y upside i

AI & MLProductivitySeries A

Magentic is building the AI Agent Platform for the world’s supply chains that helps global manufacturers hunt down and deliver cost savings.

Rank

#1092

Sector

Artificial Intelligence & Machine Learning, Supply Chain Tech, Business/Productivity Software

Est. Liquidity

~6Y

Data Quality

Data: Low

Magentic is a speculative but above-average-odds early-stage bet: Sequoia backing, outcome-based pricing in a tariff-disrupted supply chain market, and 75% gross margins are strong structural positives, but $1M ARR at an undisclosed valuation with only $5.5M raised and 17 employees means equity is illiquid and highly binary over a 2-year window.

Last updated: May 5, 2026

Bull (25%)+280%

Magentic capitalizes on tariff-driven supply chain urgency and Sequoia's network to scale ARR from ~$1M to $10M+ within 24 months, closing a $30-50M Series B at a ~$100M post-money valuation — roughly 3-4x the estimated ~$28-32M Series A post-money mark. Sequoia-led follow-on momentum and several Fortune 500 anchor logos drive the step-up, partially offset by ~20-25% Series B dilution on common.

Base (45%)+65%

Magentic grows ARR to ~$4-5M by mid-2027, securing a Series B at ~$45-55M — a ~1.5-2x step-up on the implied Series A post-money — but 6-18 month enterprise procurement sales cycles limit velocity and push meaningful liquidity 5+ years out. Net of ~20-25% new-round dilution, common equity appreciates modestly in mark-to-market terms only.

Bear (30%)-80%

Enterprise procurement budgets freeze or Coupa/SAP Ariba replicate AI-agent capabilities faster than Magentic can close six-figure deals, stalling the pipeline against a ~18-24 month runway on $5.5M raised. A down round or distressed exit wipes out most of the $5.5M liquidation preference stack before common stock sees any proceeds.

Est. time to liquidity~6.0 years

Preference Stack Risk

high

Funding Intensity

18%

With $5.5M in total preferred funding against an estimated ~$28-32M post-Series A valuation, preferred stock represents approximately 17-20% of implied enterprise value — squarely in the high range — meaning any exit below ~$10-12M returns zero to common stockholders.

Dilution Risk

high

As a Series A company requiring at least 2 more financing rounds before liquidity, employees should model 40-60% cumulative dilution from future rounds before any exit event crystallizes their equity.

Secondary Liquidity

none

At 17 employees and $5.5M raised, Magentic has no secondary market infrastructure; all equity is fully illiquid until a formal liquidity event estimated 5-7 years out.

Open — 1 role

Sales and Operations — 1 role

View all 6 open roles at Magentic →

Last updated: March 10, 2026

Questions to Ask at the Interview

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

  • 1

    “What is your current ARR and net dollar retention — specifically, are existing customers expanding their 'Mage' deployments and realizing savings that compound into upsells?”

  • 2

    “How does the 'no-cure-no-pay' model convert to contracted ARR — are clients on 12-month minimum commitments or fully variable usage, and what does your revenue predictability look like heading into Series B?”

  • 3

    “What is the fully diluted post-money Series A valuation, and what strike price or RSU 409A FMV would my grant be benchmarked against given the undisclosed cap table?”

Community

Valuation Sentiment

Our model estimates +75% 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.