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The problem
Revenue teams run a fragmented sales stack that stores data but doesn't act on it to book meetings
What they do
AI agents on a shared 'Company Brain' that run prospecting, outbound, calling and inbound qualification
Traction $15M new-revenue run rate, up 800% in under a year; 300+ customers incl. Snowflake, Deel
Hiring trend
- Open roles
- 10
- Ops roles
- 3
- Headcount
- ~70
Headcount 55 (Jul 2026) to ~67-73 (Sep 2026), +143% YoY (LinkedIn est.); plans ~80 by end of 2026
Funding
- Last round
- $25M
- Stage
- Series A
- Date
- Jul 2026
Led by IN Venture (Sumitomo)
- Hiring+1.510 open roles on the live job board (10–29 roles = +1.5)
- Funding recency+1.5Series A · $25M, Jul 2026 (3 months ago): 6 months or less = +1.5
- Traction+1.5Strong growth: $15M new-revenue run rate, up 800% in under a year; 300+ customers incl. Snowflake, Deel
- Red flags0None found in the last 24 months
- Total4.51.5 + 1.5 + 1.5 − 0 = 4.5 → Race (4.25–4.74)
Distance (10K) is a separate read on how long the lead can last. It doesn't change the score.
Distance
10K · edge: learns from use
Growing very fast and efficiently ($15M run rate, 300+ customers with ~70 staff), but it is one of many AI SDR/GTM-agent vendors (Rox, Artisan, 11x, Clay, Apollo) and sells into stacks where Salesforce and HubSpot ship their own agents to the same buyer; its 'Company Brain' learning edge and services-heavy model are not yet proven at scale
Sources: Calcalist/Ctech, Jul 2026: $15M run rate, 800% growth, 300+ customers, 55 staff ↗ · PR Newswire, Jul 2026: Series A, Company Brain, customers ↗ · Systemaic teardown, Jul 2026: traffic +70% in 3 months ↗
Last checked Oct 13, 2026