What it sells
Real-time cloud inference for robotics.
Business model breakdown
Buyer: who owns the budget?
UnverifiedRobotics teams (ML/infra leads) needing inference without onboard GPUs.
Trigger: what makes them buy now?
Frontier robot models need expensive local GPUs and low latency.
Workflow: what inputs become what output?
Choose a model (DreamZero, MolmoAct2, or your own checkpoint), connect the robot, Dreamscale runs optimized cloud inference with kernel and network tuning and real-time chunking.
Economics: what it saves and how it charges
On-demand cloud compute; claims 8+ robots on one H100 and 40-50% lower tail latency than existing cloud providers.
Distribution: how it reaches customers
Demo-led ("Schedule a demo"); YC F26 batch.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2026 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.