The problem
Companies' AI bills are ballooning but they can't see who uses which tools or whether it pays off
What they do
Measures enterprise AI spend, adoption and productivity impact across employees and agents
Traction 1 to 50 enterprise customers since Dec 2025 (CEO); 2B+ AI sessions measured
Hiring trend
- Open roles
- 2
- Headcount
- ~20-26
Small: ~20-26 staff (LinkedIn ~26, +30% YoY); plans to double headcount post-Series A
Funding
- Last round
- $30M
- Stage
- Series A
- Date
- Nov 2026
Led by Pelion Ventures
- Hiring+0.52 open roles on the live job board (1–2 roles = +0.5)
- Funding recency+1.5Series A · $30M, Nov 2026 (this month): 6 months or less = +1.5
- Traction+0.75Some growth: 1 to 50 enterprise customers since Dec 2025 (CEO); 2B+ AI sessions measured
- Red flags0None found in the last 24 months
- Total2.750.5 + 1.5 + 0.75 − 0 = 2.75 → Steady (1.5–3.49)
Distance (Unproven) is a separate read on how long the lead can last. It doesn't change the score.
Distance
Unproven · edge: learns from use
Early: ~50 enterprise customers a year into selling, in a new, crowded AI-measurement category (Ascerta, Jellyfish, DX, Zluri); its edge would be a cross-vendor usage dataset (2B+ sessions), not yet proven at scale.
Sources: Business Insider: Larridin $30M Series A, 1 to 50 enterprise customers (Nov 2026) ↗ · Larridin press release: $30M Series A, $47M total (Nov 2026) ↗
Open ops roles
No ops roles open right now
Last checked Nov 2, 2026