What it sells
AI for Science.
Business model breakdown
Buyer: who owns the budget?
UnverifiedR&D leaders at industrial materials companies and academic labs (implied by the materials R&D pitch); not explicitly stated.
Trigger: what makes them buy now?
Materials R&D is slow and costly: 1-2 experiments per day, about 10 years from lab to production, $2-20M per lab-scale success with a new product, and 70% of researchers struggle to repeat results.
Workflow: what inputs become what output?
Agent Mira, an AI scientist, takes research goals in natural language, decomposes them and coordinates generative AI proposal of molecules/crystals/formulations, simulation and prediction, and high-throughput wet-lab experiments in a closed loop; Mira platform tasks: deep research, paper reproduction, experiment design, predictive modeling.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2025-11-24 | Series A | CNY 100M+ | — | bydrug.pharmcube.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.