Huge Research AI Research Assistant
Read sources, summarize literature, organize evidence, and draft structured research reports.
Submit your scenario through Feishu for manual beta review.
Built for reading, comparison, and reports
What does Huge Research solve?
It is not a coding tool or a ghostwriting service. It turns messy research material into a traceable, reusable, and deliverable research process.
Start long readings faster
Break papers, reports, interviews, and industry notes into arguments, evidence, and follow-up questions.
Traceable literature summaries
Organize summaries by topic, method, finding, limitation, and source context.
Structure scattered findings
Extract consensus, disagreement, timelines, and key judgments from multiple sources.
Produce research reports
Shape questions, evidence, conclusions, and next steps into documents for briefing, decisions, or review.
Why apply for the beta now
The first release focuses on high-frequency research jobs, with manual follow-up to verify your scenario, source type, and desired output.
Which workflows fit?
If your work depends on reading sources, extracting judgments, organizing evidence, and writing reports, Huge Research is worth testing.
Researchers / students
Literature reviews, topic research, paper reading, and research notes without drowning in sources.
Consultants
Understand client industries, competitor material, and interview notes before building an analysis frame.
Investment researchers
Organize filings, industry reports, and expert notes into facts, timelines, and open questions.
Enterprise teams
Turn internal documents, market information, and project reviews into reusable research assets.
Core capabilities
The first release focuses on the critical research loop: read, ask, organize, and output.
Multi-source reading
Understand different source types around the same question while preserving context.
Literature and report summaries
Summarize by theme, method, finding, evidence, and limitation.
Question-driven research
Turn vague topics into the next set of verifiable research questions.
Evidence tables and timelines
Capture key facts, disagreements, timelines, and items needing confirmation.
Structured reports
Produce documents suitable for briefings, decisions, topic selection, or retrospectives.
Manual beta follow-up
Use the Feishu form and WeChat follow-up to confirm fit before expanding the product surface.
A research workflow from sources to conclusions
Help teams turn scattered material into traceable, reusable research outputs.
Sources Organize papers, reports, web pages, and interview notes together
Organize papers, reports, web pages, and interview notes together
Traceable Keep key facts, sources, and reasoning paths visible
Keep key facts, sources, and reasoning paths visible
Reusable Turn summaries, outlines, tables, and report structures into reusable output
Turn summaries, outlines, tables, and report structures into reusable output
Representative scenarios
These are beta-stage scenario examples and will be replaced by real customer proof after validation.
Turn 30 papers into themes, methods, and differences before deciding what deserves deep reading.
Research assistant, Literature review
Research assistant
Literature review
Combine client material, public reports, and interview notes into a first analysis frame.
Consulting manager, Industry research
Consulting manager
Industry research
Extract key facts, timelines, and next questions from filings, reports, and news.
Investment analyst, Source organization
Investment analyst
Source organization
Turn competitor pages, user interviews, and requirement notes into reusable evidence.
Product lead, Market research
Product lead
Market research
Connect conclusions, evidence, and past decisions across scattered internal documents.
Strategy team, Internal knowledge reuse
Strategy team
Internal knowledge reuse
See the relationships across sources before choosing what to read and ask next.
Independent researcher, Topic exploration
Independent researcher
Topic exploration
Frequently asked questions
If your question is about source material, output format, or team use, start by describing your scenario in the Feishu form.
Bring your real research scenario into the beta
Tell us what you need to read, what output you expect, and which part of research takes the most time today.