Etora — A research assistant for your lab

Read 50 papers.Quantify a Western.Plot your data.Draft the methods.

Etora reads your library, analyzes your images, makes sense of your data, and drafts your writing — all grounded in your lab's papers and your team's notes.

pdf
Théry · 2020
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WB · anti-CD63
xlsx
NTA · trace 03

Cited synthesis

CD63 marks late endosomal compartments specifically1, while CD9 appears on both populations depending on prep2.

Drawn from 12 papers

The work that's eating your week

Five tasks that take hours today. Etora collapses each into seconds.

Every answer is grounded in your library and your team's notes — with citations and provenance preserved, so you can verify before you publish.

01 · Synthesize across your library

A weekend lost to PubMed. Again.

What's the consensus across these papers on CD9 vs CD63 as exosome markers?

Etora reads every paper in your library at once and gives you a cited synthesis in seconds. Each claim links back to the exact passage — no hallucinated references, no off-library wandering.

Cited synthesis

CD63 marks late endosomal compartments specifically1, while CD9 appears on both exosomes and microvesicles depending on prep method2. Triple-positive (CD9/63/81) flow gating remains the most reliable plasma marker3.

Drawn from 12 papers in your library

02 · Analyze an image

An hour of clicking in ImageJ for one Western blot.

Quantify the bands in this Western blot, normalized to loading control.

Drop in a Western, a TEM micrograph, a fluorescence channel. Etora measures, quantifies, and tabulates — densitometry, particle counts, colocalization — and shows its work so you can verify before publishing.

Western blot — quantified

Lane 1

Lane 2

Lane 3

Lane 4

1.00

norm. to ctrl

0.52

norm. to ctrl

0.82

norm. to ctrl

0.31

norm. to ctrl

03 · Make sense of your numbers

Your data is in a CSV. The statistics are in your head.

Compute differential expression from this CSV and plot it with significance markers.

Statistical rigor without a stats degree. Etora picks the right test for your data — t-test, ANOVA, Mann-Whitney, regression — runs it, plots the result, and tells you whether your numbers match what's been published.

Differential expression · DESeq2ready

Significant

247

p < 0.05 (BH)

Up-regulated

158

log2FC > 1.5

Down

89

log2FC < -1.5

Interpretation · grounded in your library

04 · Draft scientific writing

Three days drafting a methods section you've written ten times.

Draft the methods section based on my experiment notes.

From your team's notes and the protocol papers in your library, Etora drafts the prose with the right citations placed inline. Edit, refine, ship — without rewriting from scratch.

Methods · draft

Plasma EVs were isolated by sequential centrifugation4 and characterized by nanoparticle tracking analysis. Surface markers were assessed by flow cytometry following triple-positive gating5, with CD63 used as the primary identifier6.

Built from 4 notes · 3 protocol papers

05 · Find institutional knowledge

The protocol your former postdoc optimized. Where is it?

What primary microglia protocol did our lab last optimize?

Lab knowledge lives in heads, scattered files, and dead Slack threads. Etora searches your team's notes, files, and library together — and the protocol your team tuned six months ago surfaces in seconds, with the paper it was based on.

Team note · ProtocolSarah · 6 mo ago

Primary microglia — optimized isolation

Reduced gradient steps from 4 to 2; viability improved 31% over standard protocol…

Library · Source paper

Mechanisms for biogenesis and release of neuronal EVs

Blanchette · Curr Opin Neurobiol · 2020

Your library, threaded by citation

When papers stop being a list.

Inside Etora, every claim cross-references every other one. Findings stay comparable across studies. Contradictions surface. Gaps become visible in the spaces between.

[02] · Plasma EVs[04] · Microglial pruning[07] · BDNF circuit[08] · NTA size dist.[10] · TSG101 + Alix[12] · Microglia + N-3[13] · Hypoxic stress
[01] · CD63 markers[05] · Western quantification[09] · ESCRT pathway[11] · Familial AD
[03] · Tau propagation[06] · Cerebrolysin · 2022

How it fits in your lab

One workspace for the people, papers, and notes that make up your lab.

The capabilities above don't live in isolation — they're grounded in your team's context. Permissions follow the structure; nothing leaks out of your lab.

Research Spaces

Each lab gets its own space — people, libraries, threads, notes. Permissions follow the boundary.

Libraries

Curated paper collections your team trusts. Upload a PDF, pin from your space — both feed the same grounded AI.

Threads

Persistent, library-scoped, multi-modal. Ask Etora text, code, images, and data — all in one thread, alone or with your group.

Notes & Files

Personal scratch and team-shared knowledge in one editor. Promote a draft when it's ready.

Sharing & Roles

Invite teammates with role-based access. Owner, editor, viewer — cross-org or inside your lab only.

Built in partnership with

Built with researchers, for researchers.

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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

Common questions

What labs ask before
they bring Etora in.

  • Where does the AI get its information?

    Only from the libraries, notes, and files your team builds inside Etora. The model doesn't pull from the open web — your lab's curated knowledge is the entire surface for any conversation, image analysis, or code run.

  • What happens to my data?

    Your library, conversations, notes, files, and analysis outputs stay scoped to your research space. Permissions are explicit and inheritable. Nothing leaks across orgs or labs without you sharing it deliberately.

  • Where does Etora run, and who has access to my data?

    Etora deploys inside your institution's infrastructure — on-premise or in your private cloud. AI inference happens locally; no API calls leave the perimeter, and your data is never used to train external models. Every query, every access, and every action is logged for audit. Meets the institutional governance bar for HIPAA, GDPR, and standard university compliance.

  • Can it analyze my experimental data, not just papers?

    Yes. Drop in a CSV, a Western blot image, a TEM micrograph, or a flow cytometry plot — Etora picks the right method, runs the analysis, and returns the figure with quantitative results. Then it cross-references your numbers with the literature in your library and tells you whether they match what's been published.

  • How is this different from ChatGPT with my PDFs uploaded?

    Citations to the exact passage, not just paper-level. Library-level scoping with team permissions. Real image analysis — densitometry, particle counting, colocalization. Statistical rigor with the right test auto-selected. And the Interpretation step that grounds your numerical results in the published literature. It's a workspace, not a retrieval trick.

  • Does it work for non-EV-biology labs?

    Yes. Etora was validated against EV-biology workflows at Yale, but the platform has no domain-specific assumptions baked in. Labs in any field that depend on literature, images, and data can use it the same way.

  • How do we adopt this in our lab?

    Pick one library that matters — 30 to 100 papers your team already references. Have one researcher run a real conversation against it. If the citations hold up and the analysis is useful, expand from there. Most labs are productive within an afternoon.

[06]Get started

Built for researchers.
Used in active EV biology research.

Etora is in active use by the lab that built it. Bring it to yours.

Book a demo

30 minutes · we'll show your lab's workflow