Reports say Sakana AI is raising $100M at a $2.5B valuation. In Silicon Valley that’s Tuesday. In Japan it’s a statement: regulated enterprises want a domestic lab that can deliver models with latency, privacy, and provenance guarantees—without punting their data across the Pacific.
What investors think they’re buying
- Scarcity premium: There aren’t many credible non-US/non-China frontier labs. If you can train at scale and speak the language—literally and regulator-wise—you get paid.
- Enterprise over hype: The money is in predictable inference: on-prem or VPC, retrieval bolted on properly, guardrails that pass audits, and a support team that answers the phone.
- Access to hardware: Cloud partnerships and national programmes blunt the GPU shortage if you have the right agreements and workloads.
The only metrics that matter in the next 12 months
- Unit economics at p95 latency: Cost per 1K tokens with retrieval and safety on. If they can quote it and still close, the pipeline is real.
- Renewals over pilots: Seat expansions in banks, manufacturers, and insurers beat every leaderboard brag.
- Domain agents that close tickets: Contact centre, underwriting, factory QA—if they don’t have at least one of these working at customer scale, the margin story collapses.

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