Every claim traced.
Every finding cited.
Your data never leaves.
Etora is an AI-powered research intelligence platform for extracellular vesicle biology — grounded in peer-reviewed evidence, with complete data sovereignty.
Traceable
Zero hallucinations
On-premise
by Haiva
CD63 in EV uptake...
SEC vs UC purity...
SNARE complex...
Compare ultracentrifugation vs SEC for isolating small EVs from conditioned media
SEC demonstrates higher particle recovery (1011/mL) with less protein contamination than UC1. However, UC yields purer EV populations when combined with density gradient2...
3 sources · 2 contradictions found
Théry et al. 2018 · Witwer et al. 2021 · Webber et al. 2020
Insights
Evidence Quality
Papers Searched
12,847
Contradiction
SEC purity vs UC purity — conflicting results
Not features — guarantees
Three guarantees, not three features.
Zero Hallucination
Every factual statement references a traceable evidence ID. If it can't cite the source paper, section, and page — it doesn't say it.
Exhaustive Retrieval
Every relevant finding across the entire corpus is surfaced. Not top-k results. Not "most relevant." Everything that matches — verified and ranked.
Data Sovereignty
Your conversations, uploads, and research materials never leave your infrastructure. No external API calls. No cloud processing. Complete isolation.
Built for the bench and the desk
The research capabilities you wish you had years ago.
Etora handles the work that slows research down — the exhaustive searches, the cross-referencing, the hours spent tracking down conflicting findings across hundreds of papers.
Exhaustive Literature Search
Ask a question, get every relevant finding across 100,000+ papers — not just the top ten results. From CD63 expression to cargo sorting, nothing is missed.
Contradictions Surfaced
Know where the field disagrees before a reviewer points it out. Conflicting yields, disputed markers, divergent mechanisms — all flagged with evidence.
Research Gaps Identified
See what hasn't been studied yet. Unmapped pathways, untested cell lines, missing characterization — so your next grant starts from solid ground.
Methods Compared
UC vs SEC vs immunoaffinity — compare protocols, yields, purity metrics, and NTA characterization side by side across the literature.
Every Claim Traceable
Each finding links to the source paper, page, and figure. No black-box summaries. Verify any claim in one click — the way peer review demands.
Cross-Study Synthesis
Connect findings across disparate papers into a unified, cited narrative. Build the literature review for your next manuscript — in minutes, not weeks.
Data sovereignty
Your data stays yours. Period.
Unlike ChatGPT, Perplexity, or any public AI tool — Etora runs entirely within your institution's security perimeter. No API calls to external servers. No training on your data. Complete isolation.
On-Premise Deployment
Runs on your infrastructure. No cloud dependency.
Zero External Calls
AI inference happens locally. No data leaves the perimeter.
Institutional Compliance
Meets HIPAA, GDPR, and institutional data governance requirements.
Audit Trail
Every query, every access, every action — fully logged.
Built in partnership with
Built with researchers, for researchers.
Papers Indexed
Ungrounded Claims
On-Premise
First Deployment

Dr. Sathish Ramakrishnan, PhD
Assistant Professor of Pathology, Yale School of Medicine
Dr. Ramakrishnan's laboratory focuses on the cellular and molecular mechanisms of membrane fusion and extracellular vesicle biology. A protégé of Nobel laureate James Rothman, he brings world-class expertise in SNARE-mediated vesicle trafficking and single-molecule imaging to the Etora partnership.
““For the first time, I can trust an AI tool with my research. Every claim it makes, I can trace back to the source paper and the exact page. That changes everything.”
— Dr. Sathish Ramakrishnan, Assistant Professor of Pathology, Yale School of Medicine
Start asking questions that matter.
Etora deploys within your infrastructure in days, not months. See it working with your own research corpus.