Multi-Agent Research That Thinks Like a Scholar
Deploy hundreds of AI agents that search, synthesize, and reason across thousands of sources simultaneously.
No credit card required · 100 free credits on signup
200+ Parallel Agents
Fan out across the scholarly graph in seconds
300M+ Sources
Papers, preprints, grey literature and more
Contradiction Resolution
Agents reconcile conflicting findings automatically
Cited Reports
Every claim traced back to its source
How It Works
From start to research-ready results in minutes.
State your research question
Type a natural language query. No Boolean syntax needed. The system understands intent, context, and scholarly domain automatically.
Agents fan out across 300M+ papers
200+ specialized AI agents simultaneously search preprints, journals, grey literature, and open-access repositories — in parallel, in seconds.
Synthesis and contradiction resolution
Agents cross-reference findings, flag disagreements in the literature, identify consensus areas, and rank evidence by quality and recency.
Receive a structured, cited report
Get a fully formatted research report with section headers, confidence scores, inline citations, and a source bibliography — ready to use.
Real Use Cases
See how researchers, students, and academics use this module in practice.
Literature Mapping
A researcher exploring a new interdisciplinary field needs a comprehensive literature map in hours, not months. Deep Reasoning surfaces the key themes, authors, and debates across 40 years of scholarship.
Systematic Screening
A PhD student running a systematic review needs automated screening of 5,000 papers against inclusion criteria. The multi-agent system flags relevant studies and explains why each was included or excluded.
Policy Evidence Synthesis
A policy analyst needs evidence-based synthesis across grey literature and academic sources to brief a government minister. Deep Reasoning aggregates across NGO reports, government datasets, and academic journals.
Grant Proposal Research
An institution reviewing grant proposals needs rapid evidence assessment across submitted topics. The system pre-screens the evidence base behind each proposal to flag weak justifications.
Course Material Creation
A professor building course material on an emerging topic needs curated, cited content. Deep Reasoning generates a structured reading landscape with key papers, debates, and recommended readings.
Market Research with Academic Backing
A startup doing market research needs academic evidence for their technology claims. The system finds peer-reviewed support for technological feasibility, market size estimates, and adoption trends.
Who It's For
Built for the people who do serious academic work.
PhD Researchers
Run systematic reviews and literature maps in a fraction of the time.
Research Institutions
Accelerate grant assessment and evidence synthesis at scale.
Policy Analysts
Build evidence-based briefs across academic and grey literature.
Why Docsphere?
See how we compare to other tools.
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Start Your First Research MissionNo credit card required · 20 free credits on signup