Research Spaces
Each lab gets its own space — people, libraries, threads, notes. Permissions follow the boundary.
Etora — A research assistant for your lab
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.
Cited synthesis
CD63 marks late endosomal compartments specifically1, while CD9 appears on both populations depending on prep2.
The work that's eating your week
Every answer is grounded in your library and your team's notes — with citations and provenance preserved, so you can verify before you publish.
A weekend lost to PubMed. Again.
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
An hour of clicking in ImageJ for one Western blot.
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
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1.00
norm. to ctrl
0.52
norm. to ctrl
0.82
norm. to ctrl
0.31
norm. to ctrl
Your data is in a CSV. The statistics are in your head.
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.
Significant
247
p < 0.05 (BH)
Up-regulated
158
log2FC > 1.5
Down
89
log2FC < -1.5
Three days drafting a methods section you've written ten times.
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
The protocol your former postdoc optimized. Where is it?
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.
Primary microglia — optimized isolation
Reduced gradient steps from 4 to 2; viability improved 31% over standard protocol…
Mechanisms for biogenesis and release of neuronal EVs
Blanchette · Curr Opin Neurobiol · 2020
Your library, threaded by citation
Inside Etora, every claim cross-references every other one. Findings stay comparable across studies. Contradictions surface. Gaps become visible in the spaces between.
How it fits in 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.
Each lab gets its own space — people, libraries, threads, notes. Permissions follow the boundary.
Curated paper collections your team trusts. Upload a PDF, pin from your space — both feed the same grounded AI.
Persistent, library-scoped, multi-modal. Ask Etora text, code, images, and data — all in one thread, alone or with your group.
Personal scratch and team-shared knowledge in one editor. Promote a draft when it's ready.
Invite teammates with role-based access. Owner, editor, viewer — cross-org or inside your lab only.
Built in partnership with
Papers Indexed
Ungrounded Claims
On-Premise
First Deployment

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
Common questions
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.
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.
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.
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.
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.
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.
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
Etora is in active use by the lab that built it. Bring it to yours.
30 minutes · we'll show your lab's workflow