Towards New Business Intelligence: Ultra Deep Research Assistant 'Sakana Marlin' Beta Test Begins

2026-04-02 · Source: Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Data Science & Analytics · Depth: Advanced, medium

Summary

Sakana AI has launched "Sakana Marlin," an AI research assistant designed for business intelligence, now recruiting beta testers for its April 02, 2026, beta test. This commercial product leverages Sakana AI's unique agent technology and long-term inference capabilities to automate advanced research tasks. Marlin can autonomously conduct extensive strategic research for nearly 8 hours, generating structured summary slides and comprehensive reports spanning dozens of pages, similar to a Chief Strategy Officer's team. The system integrates AB-MCTS (Adaptive Branching Monte Carlo Tree Search) for efficient, broad, and deep exploration, and applies knowledge from "AI Scientist" for autonomous workflow execution. Preliminary validations indicate high practicality compared to existing chat services, with examples including a 61-page report on Trump administration risks and a 78-page report on AI's impact on the financial industry.

Key takeaway

For corporate strategy and business planning professionals facing complex, rapidly changing environments, Sakana Marlin offers a solution to overcome human cognitive and physical constraints in research. By automating comprehensive information gathering, hypothesis testing, and structured analysis, you can achieve depth, breadth, and speed simultaneously, enabling higher quality decision-making and preventing irrational judgments due to insufficient or stale information. Consider applying for the free beta test to evaluate its utility for your team's strategic research needs.

Key insights

Sakana Marlin automates complex business research using advanced AI agents and efficient inference scaling.

Principles

• Inference scaling improves output quality with longer AI "thinking" time.
• Efficient exploration is crucial for complex, uncertain business problems.
• Multiple AI models cooperating enhance research capabilities.

Method

Sakana Marlin uses AB-MCTS for adaptive tree exploration and hypothesis testing, combined with AI Scientist's workflow automation, to conduct autonomous, multi-hour research and generate structured reports.

In practice

• Automate strategic planning and advanced decision-making research.
• Generate detailed reports and summary slides from a single prompt.
• Deep dive into geopolitical risks or industry-specific impacts.

Topics

• Sakana Marlin
• AI Research Assistant
• Inference Scaling
• AB-MCTS
• AI Scientist

Best for: Entrepreneur, Consultant, Executive, AI Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Blog.