What it sells
Quantum AI for Science.
Business model breakdown
Buyer: who owns the budget?
UnverifiedR&D heads and compute leads at universities, institutes, pharma, semiconductor and materials companies.
Trigger: what makes them buy now?
Need quantum-chemistry accuracy at scale (e.g. EUV photoresist design, superconductors, drug candidates) that CPU-based tools handle too slowly.
Workflow: what inputs become what output?
Runs quantum-chemistry calculations (HF, DFT, CCSD(T)) on GPUs with its SIE quantum-embedding framework; claims 20 qubits simulate a system equivalent to 10,000, and one A100 about 60x faster than a 100-core CPU.
Economics: what it saves and how it charges
Software/platform: QCS quantum chemistry toolkit (GPU, claims ~60x single A100 vs 100-core CPU) and SRA research-agent platform (cloud SaaS or private deployment); angel round completed; no price model stated.
Distribution: how it reaches customers
Direct/solution sales: "contact the team for customised quantum-AI computing solutions"; cloud platform (乾坤云) with login.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-06-01 | Angel | CNY hundreds of millions | — | news.pedaily.cn |
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 2026-10-13.