Consensus, An AI Academic Search Engine Raises $11.5 Million in Series A Funding, Achieves $1.5 Million Annual Revenue

Consensus, the innovative AI-powered academic search engine, has successfully secured $11.5 million in Series A funding. This round was led by Union Square Ventures, with participation from notable investors including Nat Friedman, Daniel Gross, Draper Associates, and Kevin Carter.

What is Consensus?

Consensus is a cutting-edge AI academic search engine that leverages Language Models (LLMs) and specialized search technologies, such as vector search, to present the most relevant scholarly papers. It offers both topic-level insights and in-depth analysis of individual papers, all linked to authentic research publications.

Key Highlights:

• Consensus enables faster, more accurate research paper discovery
• Over 200 million research papers indexed across various scientific fields
• Monthly active users exceed 400,000
• Projected 600% growth in 2024
• Annual revenue reaching $1.5 million

Search Scope:

• Over 200 million research papers indexed
• Data sourced primarily from Semantic Scholar database
• Monthly updates and continuous expansion of the database

Target Audience:

1. Students and Researchers: Accelerate literature reviews and identify valuable papers
2. Doctors and Clinicians: Access reliable answers to patient questions with easy citation
3. Health and Fitness Experts: Find scientific evidence on supplement safety, diet types, and exercise science

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Consensus, An AI Academic Search Engine Raises $11.5 Million in Series A Funding, Achieves $1.5…

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