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Sakana AI: one unified model for everything you build
Best product for this task
Sakana Fugu is a research-driven multi-agent orchestration model that coordinates multiple LLMs through one API to solve complex, multi-step tasks. It learns how to route, sequence, and verify work across expert agents for higher-quality coding, reasoning, and knowledge workflows while honoring data and compliance constraints.
What to expect from an ideal product
- Sakana Fugu sits between your apps and multiple LLMs through a single API, so you define your compliance rules once and they apply across every agent in the workflow without patching each model separately
- When handling sensitive data, Fugu routes tasks only to the agents cleared to process them, keeping regulated information from leaking into models that shouldn't touch it
- The orchestration layer sequences and verifies work across agents, which means outputs get checked before moving to the next step β reducing the risk of a compliance violation slipping through undetected
- Because everything runs through one controlled pipeline, your team gets a clear audit trail of which agent handled what, making it much easier to satisfy data governance requirements or respond to a compliance review
- Instead of juggling separate API connections, access controls, and logging setups for each LLM, Fugu centralizes that overhead, so engineering teams spend less time on compliance plumbing and more time building
