About
We don't decide for you —
we make your decisions auditable.
ZhiQing PreFounder is a pre-race lab built for serious founders. We combine multi-agent research, reproducible financial models, and legally structured equity-swap arrangements to nail the most important judgments before you found a company.
HQ Shanghai · Singapore · London
Research is the product · transparency is the moat
Mission
In a world where 70% of startup failures stem from 'wrong track and model assumptions,' we make pre-founding judgment structured, quantifiable, and auditable.
Team
28 people, all from McKinsey · KKR · MIT · Google · Two Sigma.
Planned to 125 people within 5 years · cumulative headcount cost $51.8M (Model 07)
Chen Wei
Chief Analyst / Co-founder
Former McKinsey consulting partner · Harvard MBA · 12 years of strategy and industry research
Li Xiao
Legal Architecture / Co-founder
Former KKR legal director · NYU LLM · 14 years of cross-border equity and M&A law
Mariam K.
Head of Quant Research
MIT PhD in computational finance · former Two Sigma researcher · Monte Carlo and scenario-analysis expert
Tobias W.
Platform Architect
Former senior Google AI engineer · ETH Zurich · multi-agent systems expert
Lu Jiachen
Head of Customer Success
Former SaaS founder (Series A, US$80M) · Peking University Guanghua EMBA
Sasha P.
Data Science
Former Bloomberg quant analyst · LSE PhD in economics · policy and regulatory modeling
Governance & Risk
Stating the risks clearly matters more than telling a clean story.
| Risk | Level | Mitigation |
|---|---|---|
| Tighter regulation | Mid-High | Multi-agent compliance filtering + policy timeline + quarterly legal audit |
| AI model dependence | Mid | Multi-model routing + in-house lightweight inference + caching to lower unit cost |
| Customer acquisition cost | Mid | University / incubator / FA channel profit-share + long-tail content marketing |
| Data compliance | Mid | AES-256 encryption + regional deployment + SOC 2 roadmap |
| 5% equity legal risk | Mid | 4 standardized term types + cross-border legal counsel + quarterly disclosure |
| Hallucination & quality | High | Critic Agent counter-falsification + evaluation set + citation-consistency enforcement |
Roadmap
A 5-year roadmap · verifiable quarter by quarter.
2026 H1
MVP launch · Standard Edition · Seed US$8-12M
Underway2026 H2
First 12 Deep Program projects signed · 5% equity framework live
In progress2027 H1
Enterprise launch · API + SSO · 5 industry model libraries
Planned2027 H2
Series A US$25-40M · sales scaling · post-investment tools
Planned2028
Overseas entry (Singapore / EU) · cross-border compliance layer
Planned2029
Series B (optional) · M&A integration or pre-IPO preparation
Strategy2030
5-year cumulative revenue $355M · net profit $235M · IPO window
Target
Disclaimer · Important Notice
Confidential · for qualified decision-making and financing review only
This website and its related documents are prepared by the ZhiQing PreFounder founding team for prospective investors, strategic partners, and professional readers who have passed a suitability assessment.
Beyond software-subscription and business-plan / feasibility-study advisory fees, the '~5% stake in the target company' described herein is subject to duly executed transaction documents (capital increase, equity transfer, or advisory equity swap) and to the securities and private-financing rules of the company's place of registration; it does not constitute any public offering or securities offer to unspecified parties.
The platform focuses on pre-founding industry/track research, structured business-model reasoning, and scenario analysis; it does not provide live trading instructions for secondary-market securities or futures. The economic consequences of the equity portion are conservatively booked as 'liquidity realization' in the models, and unrealized valuation is not recognized as revenue.
All forecasts and probabilities herein derive from reproducible Python models and reasonable assumptions, and carry significant uncertainty. No conclusion should be treated as a promise of future performance or project-exit returns.
Typical stake 5% · 12,000-path Monte Carlo · SEED = 20260501 · median post-money $12M
Privacy Policy
Privacy Policy
- All user workspace data is stored encrypted with AES-256
- Regional deployment: China (Shanghai), Singapore, Frankfurt
- We never sell personal information or workspace data to third parties
- Export / delete all your data in Account → Privacy (aligned with GDPR / PIPL)
- SOC 2 Type II certification roadmap: 2027 H1
Want the full terms?
The full Terms of Service / DPA / SCC / cross-border data-transfer clauses, plus the legally structured 5% equity standard templates.
Request the full legal pack