

Upload papers, build living knowledge graphs, surface contradictions, generate literature reviews and explore research directions — all guided by the ResearchOS AI, Ari.
Join researchers worldwide who are already using Ari to accelerate their discoveries
Ari transforms research papers and more into interconnected knowledge networks.
Interactive preview — hover over nodes and edges to explore connections


Turn PDFs into a living knowledge system — map ideas, surface contradictions, and move from reading to reasoning.
Start building your first knowledge graph in minutes
A simple, powerful workflow that transforms research chaos into clarity
Drop in your PDFs, papers, and notes. Ari extracts and structures everything.
Creates connections, finds patterns, and builds a living knowledge graph.
Ask questions and get intelligent answers with confidence levels and reasoning.
Create literature reviews, insights, and actionable next steps.
Ari doesn't just give answers — it tells you if the question was answered, why or why not, and suggests what to ask next.
Research isn't just about finding answers—it's about thinking through problems together. Upload your papers and watch Ari become your collaborative thinking partner.
Research isn't just about finding answers—it's about thinking through problems together. See how Ari becomes your collaborative thinking partner.
Watch as Ari's thinking accesses your living knowledge graph in real-time
I'm looking at studies on omega-3 and memory, but I'm getting conflicting results. Some show improvement, others don't. What's going on?
Great question! Let me analyse the methodology differences. I'm seeing a pattern: studies with positive results used higher doses (2-3g) for longer periods (6+ months), while negative studies used lower doses (1g) for shorter periods (3 months).
That's interesting! But what about the population differences? I noticed some studies used young adults, others used elderly.
Excellent observation! This is where it gets really interesting. The elderly studies show more variability because baseline omega-3 levels vary dramatically with age and diet. Young adults have more consistent baselines, making effects easier to detect. Plus, elderly populations often have comorbidities that can mask omega-3 benefits.
So the real question isn't just "does omega-3 work?" but "for whom, at what dose, and over what timeframe?"
Exactly! You've identified the key research gap. Most studies treat omega-3 as a one-size-fits-all intervention, but it's really a precision medicine question. Your research could focus on personalized omega-3 protocols based on age, baseline levels, and health status.
This conversation demonstrates how Ari transforms from a simple Q&A tool into a true research partner. Watch how the knowledge graph above evolved from a single question to a breakthrough insight.
Ari doesn't just report results—it identifies patterns and explains why they matter.
Ari builds on your observations to reveal deeper biological and methodological insights.
Ari helps you reframe questions and discover new research directions you hadn't considered.
This is how Ari becomes your thinking partner—not just answering questions, but helping you ask better ones and build knowledge together.
Start collaborating with your AI research partner today
Real use cases from PhD students, professors, and research teams
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