Enzwa lab
BearingWeighted Trade-off Model
Guided site trade-off

Let's find where you should build next.

Five questions about your brief. The engine then scores 32 global & APAC cities across a Macro → Major → Minor criteria tree — talent, demographics, skills, operating environment, risk and cost — and builds a tailored, defensible recommendation down to the site-level factors.

Reading your brief…
Click any city to drill in
Composite fit
Strong (75+)
Solid (60–74)
Watch (45–59)
Weak (<45)
Select a city on the map to see its full benchmark profile.
Bearing · a working prototype
Criteria are arranged Macro → Major → Minor. Benchmark values are representative composites calibrated to public 2024–2026 sources (Kearney GSLI, Stanford AI Index, CBRE/Colliers tech-talent & office data, EF EPI, World Bank/EoDB, FDI, renewable-energy & labour indices). Built for directional decision-support and client conversation — validate against live, brief-specific data before committing capital.