What it sells
Laser technology for AI chips.
Business model breakdown
Buyer: who owns the budget?
UnverifiedDatacenter infrastructure and AI platform leads (inferred).
Trigger: what makes them buy now?
AI inference limited by memory bandwidth and capacity, not compute; cost per token for giant models.
Workflow: what inputs become what output?
Drop-in 15U rack-fit system: 10 TB memory, 240 TB/s bandwidth, 20 kW; customers "tell us your workload" and get mapped to a configuration.
Economics: what it saves and how it charges
Claims 15x tokens/$ vs NVIDIA Rubin, 6x tokens/W, >30x lower latency; hardware sale.
Distribution: how it reaches customers
Early access / direct ("Get Access", contact); first inference engines due 2027 per press.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-10-01 | — | 88 Millionen Dollar | — | news.google.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.