AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework | ScienceToStartup | ScienceToStartup

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References (40)

[1]

Agent4S: The Transformation of Research Paradigms from the Perspective of Large Language Models

2025Boyuan Zheng, Zerui Fang et al.

[2]

Qwen3 Technical Report

2025An Yang, Anfeng Li et al.

[3]

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Founder's Pitch

"A low-code platform using Bayesian adversarial multi-agent framework to automate and enhance scientific code generation with LLMs."

Low-code AI Platforms•Score: 7•View PDF ↗

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0-10 scale

High Potential

1/4 signals

2.5

Quick Build

3/4 signals

7.5

Series A Potential

3/4 signals

7.5

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AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework

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References (40)

Founder's Pitch

"A low-code platform using Bayesian adversarial multi-agent framework to automate and enhance scientific code generation with LLMs."

Commercial Viability Breakdown

🔭 Research Neighborhood

Why It Matters

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Disruption

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AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework

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References (40)

Founder's Pitch

"A low-code platform using Bayesian adversarial multi-agent framework to automate and enhance scientific code generation with LLMs."

Commercial Viability Breakdown

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