What it sells
Quantum/AI computing.
Business model breakdown
Buyer: who owns the budget?
UnverifiedCTO / head of AI infrastructure at enterprises, data centers and device makers (hypothesis).
Trigger: what makes them buy now?
GPU shortages, soaring inference energy costs and limited chip supply; need for sovereign, private deployment.
Workflow: what inputs become what output?
Compress a foundation model with CompactifAI tensor networks, then run it via API, private cloud/on-premise, or on-device instead of a full-size model.
Economics: what it saves and how it charges
Claims 50-80% lower inference costs, up to 2x faster inference, near-100% accuracy retention.
Distribution: how it reaches customers
Private deployment, API, partnerships.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-07-27 | Series C | €500M | — | 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.