Enterprise strategy teams often face research bottlenecks when tackling high‑stakes questions like market entry, risk modeling or competitive analysis. Traditional deep‑research tools return quick answers but lack the depth needed for confident decisions, while manual analyst work can take weeks and strain resources. Decision‑makers need a solution that delivers thorough, citation‑backed reports and ready‑to‑present slides without constant supervision.
Sakana Marlin addresses this gap as an autonomous virtual Chief Strategy Officer. Users submit a single research topic; Marlin then plans hypotheses, browses sources, verifies findings and iterates for up to eight hours per run. The output is a structured deliverable—dozens to roughly one hundred pages of report plus a slide deck—complete with references and appendices. By allocating compute adaptively through its AB‑MCTS core, Marlin spends more time on promising branches and less on dead ends, effectively compressing weeks of strategy work into a single supervised session.
Pricing is transparent: pay‑as‑you‑go starts at 100 credits per run (¥98 per credit), with Pro, Team and Enterprise tiers offering monthly credit bundles and dedicated support. Though each run consumes credits even if cancelled, the trade‑off is explicit—longer runtime yields higher‑quality, actionable insight. Human review remains essential before acting on the cited output, but the heavy lifting of hypothesis testing, source synthesis and slide generation is handled automatically.
Teams in finance, corporate strategy, consulting and think‑tanks can now run unattended, high‑depth research on demand, receive polished deliverables ready for executive review, and iterate faster than traditional analyst cycles allow. This reduces the research bottleneck, lowers opportunity cost and enables more frequent, data‑driven strategic decisions.
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