Deployed at Yale School of Medicine · 100,000+ papers indexed

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

What role does CD63 play in EV uptake mechanisms?

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

Not features — guarantees

Three guarantees, not three features.

01

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.

02

Exhaustive Retrieval

Every relevant finding across the entire corpus is surfaced. Not top-k results. Not "most relevant." Everything that matches — verified and ranked.

03

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.

01

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.

02

Contradictions Surfaced

Know where the field disagrees before a reviewer points it out. Conflicting yields, disputed markers, divergent mechanisms — all flagged with evidence.

03

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.

04

Methods Compared

UC vs SEC vs immunoaffinity — compare protocols, yields, purity metrics, and NTA characterization side by side across the literature.

05

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.

06

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.

0

Papers Indexed

0

Ungrounded Claims

0

On-Premise

Yale

First Deployment

Dr. Sathish Ramakrishnan

Dr. Sathish Ramakrishnan, PhD

Assistant Professor of Pathology, Yale School of Medicine

Rothman Lab · Nobel Prize 2013NIH MIRA Award 2025Cambridge · Montpellier · ENS Paris

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.

Nature Protocols · 2025Adv. Functional Materials · 2024PNAS · 2023eLife · 2022

“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.

Try Etora