AI startup Sakana AI announced that it has launched a closed beta for its first commercial product, Sakana Marlin, marking a notable evolution from its previous consumer-oriented Sakana Chat service.
Marlin is a fully autonomous research agent designed to emulate the work of a CSO (Chief Strategy Officer) and an entire research team, compressing several weeks of strategic analysis into a single, unattended session lasting up to eight hours.
The output includes a structured slide deck and a detailed report spanning multiple dozen pages, generated entirely without human intervention following the initial prompt.
Marlin is built upon two core research developments that Sakana has refined over the past two years. The first, Adaptive Branching Monte Carlo Tree Search (AB-MCTS), conceptualizes reasoning as a tree-search problem, allowing the AI to autonomously determine which hypotheses to pursue, discard, or escalate to different models.
This technique was recognized with a spotlight award at NeurIPS 2025. The second is a workflow automation framework originating from the Sakana AI Scientist project, which demonstrated fully autonomous scientific discovery, from ideation to peer review, and was published in Nature.
By combining these systems, Marlin is capable of executing hundreds to thousands of LLM queries per session while dynamically directing computational resources toward the most promising research avenues.
The product is positioned as infrastructure for modern decision-making, addressing the challenges posed by geopolitical volatility, rapid technological developments, and shifting capital markets. Traditional strategic research can take weeks, often rendering insights outdated by the time they are produced. Marlin aims to bridge this gap for strategy, planning, and consulting teams that operate in fast-moving environments.
The closed beta is available to professionals in financial institutions, corporate strategy divisions, consulting firms, think tanks, and research organizations. Participation during this beta phase is free, and Sakana plans to refine the product based on user feedback ahead of a full commercial release.
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