The problem
Company data is defined inconsistently, so dashboards and AI answers can't be trusted
What they do
AI analytics and BI platform built on a governed semantic layer
Traction Revenue 4x in 2025, tripled YTD 2026; profitable
Hiring trend
- Open roles
- 36
- Ops roles
- 3
- Headcount
- ~200
~200 staff (Apr 2026, Fortune); 29 open roles
Hiring in
- San Francisco
- Dublin
- London
- Remote (US)
Glassdoor
Fewer than 5 reviews, no rating yet
Funding
- Last round
- $120M
- Stage
- Series C
- Date
- Apr 2026
Led by ICONIQ
- Hiring+236 open roles on the live job board (30+ roles = +2)
- Funding recency+2Series C · $120M, Apr 2026 (6 months ago): 6 months or less = +1.5, $100M+ round +0.5
- Traction+1.5Strong growth: Revenue 4x in 2025, tripled YTD 2026; profitable
- Red flags0None found in the last 24 months
- Total5.52 + 2 + 1.5 − 0 = 5.5 → Sprint (4.75 or more)
Distance (10K) is a separate read on how long the lead can last. It doesn't change the score.
Distance
10K · edge: hard to leave
Business logic lives in its semantic layer, but Power BI and Tableau still dominate BI.
Sources: Business Wire: Omni Series C (Apr 2026) ↗ · ThoughtSpot: Power BI vs Tableau 2026 ↗
Last checked Oct 25, 2026