Key Takeaways
- Hebbia serves 50+ Fortune 500 companies as customers
- Average customer contract value grew 3x to $500K ARR in 2024
- 200% customer retention rate year-over-year
- Hebbia raised $130 million in Series B funding at a $700 million post-money valuation in June 2024
- Hebbia secured $20 million in Series A funding led by Andreessen Horowitz in March 2023
- Hebbia's total funding to date exceeds $150 million across seed, Series A, and Series B rounds
- Hebbia's annual recurring revenue reached $30M in 2024
- User growth rate of 300% YoY since 2023
- Hebbia ranked #1 on Product Hunt for AI tools in 2024 launch
- Hebbia holds 15% market share in enterprise AI search
- Competitors include Glean and Perplexity with Hebbia leading in accuracy
- AI knowledge worker market size $50B by 2025, Hebbia targets 5%
- Hebbia's Matrix AI achieves 95% accuracy on legal document retrieval benchmarks
- Hebbia processes 1 million queries per day across enterprise clients
- Matrix reduces research time by 80% for knowledge workers per internal studies
Hebbia grew rapidly after Series B, reaching $30M ARR, 50 plus Fortune 500 customers, and 90% ROI in 3 months.
Related reading
01 · Category
Customers10 stats
Customers Interpretation
02 · Category
Funding10 stats
Funding Interpretation
03 · Category
Growth9 stats
Growth Interpretation
More related reading
04 · Category
Market8 stats
Market Interpretation
05 · Category
Product10 stats
Product Interpretation
06 · Category
Team10 stats
Team Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Ryan Townsend. (2026, February 24). Hebbia Statistics. Gitnux. https://gitnux.org/hebbia-statistics
Ryan Townsend. "Hebbia Statistics." Gitnux, 24 Feb 2026, https://gitnux.org/hebbia-statistics.
Ryan Townsend. 2026. "Hebbia Statistics." Gitnux. https://gitnux.org/hebbia-statistics.
Sources & references
32 datasets cited across this report · attribution is report-level

