Deployment
Managed AI for labs that want a guided start
Use Researcher Center without operating the application stack yourself. Managed cloud is for labs that can approve a hosted workflow and want to validate source-grounded answers quickly.
Source-grounded answersWorkspace boundariesDeployment choice
Who reviews this page
University labs and research groups starting with an approved, focused corpus and a clear internal champion.
What managed cloud is for
A fast path for early evaluation, not a reason to skip review.
- A hosted web application, API, ingestion workers, storage, and retrieval stack operated for you.
- Platform-managed inference with usage controls, so the first pilot can start without local model setup.
- A security review path before sensitive or unpublished material is uploaded.
Best fit
- A PI or lab manager wants to test protocol Q&A, onboarding, or prior-conclusion retrieval.
- The starter corpus is non-confidential or already approved for hosted processing.
- The lab values speed, support, and guided setup over local infrastructure control at the pilot stage.
Controls to review
- Answers remain scoped to the organization, workspace, and member permissions.
- Sensitive document text is not written to default logs.
- Platform-managed answers, OCR, and transcription have explicit usage controls; unmanaged overage is not the default.
- Known limitations remain visible before teams upload sensitive research material.
Before uploading sensitive documents, review the known limitations and confirm which AI operating model your lab can approve.
Start with a corpus your lab already trusts
A focused pilot is the cleanest way to evaluate citations, refusal behavior, access boundaries, and deployment fit.