The problem
Developers juggle many model endpoints and high inference costs
What they do
Unified API and custom inference hardware (Sonic) for generative media models
Traction 10B+ generations, 200k developers, 300M end users
Hiring trend
- Open roles
- 26
- Headcount
- ~61
~61 staff; no public job board found
Hiring in
- London
- Bucharest
- Remote (Europe)
- Remote (US)
Latest news
Aug 2026
Introduced Sonic Pods modular inference data centers; 10k nodes planned H2 2026 ↗Funding
- Last round
- $50M
- Stage
- Series A
- Date
- Dec 2025
Led by Dawn Capital
- Hiring+1.526 open roles on the live job board (10–29 roles = +1.5)
- Funding recency+1Series A · $50M, Dec 2025 (10 months ago): 6–12 months = +1
- Traction+0.75Some growth: 10B+ generations, 200k developers, 300M end users
- Red flags0None found in the last 24 months
- Total3.251.5 + 1 + 0.75 − 0 = 3.25 → Steady (1.5–3.49)
Distance (10K) is a separate read on how long the lead can last. It doesn't change the score.
Distance
10K · edge: cheaper at size
200k developers, but behind fal in generative-media inference and needs heavy hardware spend.
Sources: Runware: $50M Series A ↗
Open ops roles
No ops roles open right now
Last checked Oct 25, 2026