Consensus

Evidence-Based Answers, Faster

ABOUT THE Consensus

Consensus是一个使用人工智能来搜索研究论文并找到洞见的搜索引擎。它具有广泛的覆盖范围,可搜索超过2亿篇科学论文。所有的结果都来源于实际研究,我们引用我们的来源,绝不会显示广告。它还具有即时分析功能,利用GPT4和其他LLM来为您总结结果。Consensus旨在帮助您进行有效的研究。

Traffic Revenue
$166.4K
AD, E-COMMERCE
Traffic Sources
2.3M
PC,Mobile
Geography
415.2K
TOP Country

Estimated Terms

TOTAL REVENUE
$166.4K
ORDERS
4.6K
AD REVENUE
$4.3K
ECOMMERCE
$162.2K
AFFILIATE
$115.9K
TOTAL AMOUNT
$ 166.4K

Payment Page Traffic

Estimated statistics of traffic to payment platform
$4.1K
Earnings
275.0
Month Traffic
-11.9%
Growth

Website Page Views

Estimated statistics of website traffic
2.4M
Avg Traffic
2.9M
Month Traffic
+12.2%
Growth

AI Analysis Report

Estimated statistics of traffic to payment platform

What is Consensus AI-powered Academic Search Engine?

Consensus is an AI-powered search engine designed to help researchers find and understand scientific literature faster. It leverages AI to provide insightful analysis and filter irrelevant results, significantly improving research efficiency. Its core value is accelerating the research process through intelligent search and summarization.

Problem

  • Difficulty finding relevant research papers within the vast amount of existing literature.
  • Inefficient research process due to time spent sifting through irrelevant results.

Pain Points:

  • Researchers spend excessive time searching for relevant papers, hindering productivity.
  • The abundance of research papers makes it difficult to identify the most reliable and impactful studies.

Solution

Consensus uses AI to provide a more efficient and insightful academic search experience. It leverages natural language processing and machine learning to filter, summarize, and analyze research papers, offering researchers crucial insights quickly and efficiently.

Value Proposition:

Save time and enhance research productivity by accessing the most relevant and impactful academic papers faster, using AI-driven insights to accelerate understanding.

Problem Solving:

Addresses the issue of information overload by filtering irrelevant papers using AI-powered search and relevance ranking.

Reduces time spent on research by providing concise summaries and key insights through its Pro Analysis and Consensus Meter.

Customers

Globally distributed, concentrated in academic institutions and research centers. users, aged 25-65+ , typically Variable, depending on career stage and institution, generally above average.

Unique Features

  • Proprietary academic search tools that filter for relevance and reliability, unlike general-purpose search engines.
  • AI-driven Pro Analysis and Consensus Meter provide unique insights not found in other academic search platforms.
  • Leveraging OpenAI and custom LLMs to analyze and summarize scientific literature efficiently.
  • Development of a proprietary algorithm for ranking papers based on relevance and reliability.
  • Scalable architecture capable of handling vast amounts of research data.
  • Advanced natural language processing capabilities for accurate and insightful analysis.

User Comments

  • Use Case: Finding relevant papers for a meta-analysis on climate change.
  • Highlighted Advantages: Time savings, improved relevance, reliability assessment