Answer protocol questions, onboard new lab members, and verify prior conclusions from your own sources.
Researcher Center lets your team ask its papers, protocols, theses, notes, and code, then returns answers grounded in lab evidence. If the source material does not support a response, it says so.
No public-web guesses. No fabricated citations. No loss of data control.
What buffer did we use in the 2024 membrane assay?
The assay used 50 mM Tris-HCl at pH 7.5 with 150 mM NaCl during the wash step1. The May validation note kept the same buffer and reduced incubation from 30 minutes to 20 minutes2.
Evidence
Ask something the sources don’t cover and it declines instead of guessing.
Who it is for
Designed for principal investigators, postdocs, lab managers, and PhD research groups with years of knowledge spread across documents, folders, and people.
Keep prior decisions, methods, and evidence accessible after projects and people move on.
Reduce recurring questions about protocols, analyses, and project history.
Find the lab's own context before asking for someone else's time.
Assess a private AI workflow with clear operating models and a documented security path.
Boundaries
Researcher Center is intentionally bounded. It answers from the material your lab provides.
The problem
Research groups accumulate knowledge in papers, protocols, theses, notebooks, meeting notes, code, and shared drives. Over time, the evidence remains, but the path to it becomes fragile.
Important context often lives with the student, postdoc, or PI who last touched the work.
A shared drive can hold the file without revealing the answer.
Teams repeat decisions because the original reasoning is buried.
Unpublished research deserves a controlled system grounded in approved sources.
Outcomes
Researcher Center gives the lab a reliable way to reuse what it already knows.
Find parameters, changes, and method details from approved source documents.
Give students and postdocs a first place to ask the lab's recurring questions.
Trace claims back to the document that supports them.
Keep methods, decisions, and lessons usable after people leave.
Reduce the need to paste sensitive material into general-purpose AI tools.
Evidence behavior
The product is designed to be useful within the limits of the evidence.
Cited answer example
The pilot study associated lower build speed with higher yield strength in the tested samples. A later process review noted that the effect was less consistent under high heat input, so the result should be treated as condition-specific.
Refusal example
I could not find the protocol in the available sources. I found references to the study, but not enough evidence to identify the procedure. Add the protocol document or ask about the notes currently available.
In research work, a bounded answer is often more valuable than a confident one.
How it works
Upload papers, protocols, theses, notes, text files, Markdown, code, and related materials.
Use the language your team already uses: "What changed?", "Where did this value come from?", "What did we conclude?"
Answers point back to the documents behind them.
Open the supporting evidence before using the answer in a protocol, manuscript, grant, or meeting.
When the corpus cannot support a claim, the system makes that boundary explicit.
Trust
Answers should be attributable, access should be controlled, and uncertainty should be visible.
Claims are tied to the lab's own documents, so they can be checked.
When the source material is insufficient, the product declines.
Documents, chunks, embeddings, prompts, and answers are treated as sensitive research data.
Organizations and workspaces define access boundaries.
Security-relevant actions are designed to leave a reviewable trail.
Security posture, current controls, and Early Access limitations are available for review.
Deployment options
Researcher Center supports different levels of control, from managed convenience to local infrastructure.
Managed cloud is optional. Data-control requirements can lead the deployment choice.
Comparison
Public chatbots answer broadly. Shared drives store files. Researcher Center is built for private, source-grounded lab knowledge.
Useful for general questions, but not governed by your lab's evidence. It may answer from the wrong context or produce citations your team must audit manually.
Necessary for storage, weak for retrieval. The file may exist, but the answer still depends on knowing where to search.
A controlled place to ask questions across the lab's own material, review the supporting evidence, and see when the corpus cannot answer.
FAQ
No. Researcher Center works over your lab's own documents. Literature discovery tools search the published record.
It is designed for private research workflows. Early Access teams should review security and known limitations before uploading sensitive material.
The product is built around source-grounded answers and refusal when support is missing.
Yes. Local and self-hosted options are available, including Ollama or vLLM.
No. You can use managed AI, bring your own key, or self-host.
University labs: PIs, postdocs, lab managers, PhD students, and research groups working with internal knowledge.
Start with trusted protocols, core papers, theses, project notes, and documents the lab already references often.
The system should say that the available sources are insufficient and, where useful, indicate what evidence is missing.
Start with the documents your group already trusts. Ask better questions of them. Keep the evidence visible and the operating model under your control.