GigaML
+54%
est. 2Y upside i
At GigaML, we’re revolutionizing enterprise customer support by deploying AI agents that resolve over 1 million customer tickets monthly via voice and chat. Industry leaders like Postman and Zepto (YC’s fastest-growing company) trust our AI to navigate complex, real-world conversations with clarity, accuracy, and scalability.
Rank
#1247
Sector
Enterprise Software / Artificial Intelligence
Est. Liquidity
~2Y
Data Quality
Data: MediumGigaML offers high-risk, high-reward equity.
Last updated: July 3, 2026
AI IPO boom plus GigaML's open-source cost advantage secures premium multiple of 50x forward revenue; exit via acquisition at >$2B, common shareholders net 374% upside after dilution.
Multiple compresses to public comp average (9x) as growth normalizes; exit at $385M, common shareholders see ~27% loss after dilution.
Competitive pressure from big tech and incumbents compresses multiple to 4x; exit barely above preference, common recovers only 24 cents on the dollar.
Preference Stack Risk
highFunding Intensity
1860%Total funding of $65.1M represents 18.6% of valuation; 1x non-participating preferred means common only gets residual after $65.1M.
Dilution Risk
highExpect ~20% dilution from Series B within 18 months.
Secondary Liquidity
limitedSecondary market valuation close to last round suggests limited discount but no active liquidity for employees.
Engineering — 33 roles
- Forward Deployed Engineer · San Francisco
- Founding Engineering Manager - New York · New York
- Founding Engineering Manager - Vancouver · Vancouver
- +30 more →
Sales — 17 roles
- Enterprise Sales Development Representative (San Francisco) · San Francisco
- Enterprise Sales Director (Atlanta) · Atlanta
- Enterprise Sales Director (Atlanta) · Atlanta
- +14 more →
Strategy & Operations — 8 roles
- Executive Assistant · San Francisco
- Executive Assistant to Head of Strategy & Operations · San Francisco
- Facilities Manager · San Francisco
- +5 more →
Human Resource — 1 role
- Senior Technical Recruiter · San Francisco
Revenue Operations — 1 role
- GTM Engineer - San Francisco · San Francisco
Last updated: March 10, 2026
Questions to Ask at the Interview
Strategic questions based on GigaML's data — designed to show you've done your homework.
- 1
“How does GigaML defend against LLM commoditization and big tech embedding voice AI natively?”
- 2
“What are the unit economics (average contract value, gross margin) of a typical enterprise deployment?”
- 3
“How does the equity liquidity differ from a standard Series A — any secondary market activity?”
Community
Valuation Sentiment
Our model estimates +54% 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.