For clients
Expert support for your project
For medical images, clinical text and biological research data, define scope and quality criteria before planning expert collaboration and a trial delivery.
Three contracts · model teams
LumeSage
LumeSage does these three things for biological and medical model teams. Scope, license and schedule are confirmed on the data card or contract. Nothing is sold as stock.
Domain expert? Explore open projects →
Define the task & spec · Verify license scope · Start with samples & trial delivery
Explore DICOM, AI-assisted drafts, expert review and export. Verify the interface and deployment with your task.
01 / THREE CONTRACTS
Specs are for discussion. Scale comes after a trial. Evaluation and data are separate contracts.
Check sample structure, modality, label fields and license on the data card. Scale only after the trial. The catalog is not stock.
Read specs, book a trial → 02 ↗If you already have a task, biological samples, or imaging, we pilot, review and deliver in batches against a statement of work.
Discuss an annotation task → 03 ↗Name failure types against an agreed rubric, and turn them into the next data need. No promise that scores or clinical outcomes will rise.
See private evaluation →Already have DICOM and need on-prem software? See the imaging annotation platform. Hospital governance goes to partnership review. The brand stance is on About. Biological annotation projects: biological annotation.
Expert services
Connect project needs with specialist knowledge, from task guidelines and annotation review to agreed deliverables.
For clients
For medical images, clinical text and biological research data, define scope and quality criteria before planning expert collaboration and a trial delivery.
For experts
Explore project requirements, specialist fields and participation criteria to find opportunities that fit your experience.
Browse projects without signing in. Sign in to apply and collaborate. Expert sign-in
02 / BUILT AROUND YOUR TASK
Medical imaging
From modality, anatomy, and disease to labeling specs, expert review, and delivery formats.
Enter imaging catalog ↗Define tasks around structuring, information extraction, and clinical Q&A.
02 / MULTIMODALCheck modality pairing, sample strata, and gaps against your task.
03 / CUSTOM COLLECTIONNothing fits the catalog? Submit your spec and target.
The catalog supports capability and requirements conversations. Available scope, sample size, license, and lead time follow project verification, the data card, and the contract. Graphics are abstract illustrations.
03 / EVIDENCE BEFORE COMMITMENT
Procurement, engineering, and compliance can align on the same materials.
First check sample structure, modality, label fields, intended tasks, and delivery formats.
View public structure sample →Clarify expert involvement, disagreement handling, sampling rules, and acceptance criteria.
Learn expert-data delivery →Verify source authorization, de-identification, training use, and redistribution limits.
View compliance notes →FROM FIRST CONVERSATION TO DELIVERY
Task, modality, use case, and timeline
Data card, license, and available scope
Agree controlled samples & trial-delivery terms
Accept per contract; iterate with eval feedback
LET’S BUILD WHAT’S NEXT
Name the task and the modality. We reply according to the contract you select: data-card fields, an annotation pilot, or an evaluation call.
+86 15010400907 ↗Call directly · Email date@lumesage.com
Scan with WeChat to add our business contact, or open the enterprise WeChat service chat.
Open WeChat service on mobile ↗You can browse the public data-card structure sample. Scope, de-identification, and NDA terms for real samples are confirmed per project.
Yes. Share the model task, modality, or target disease and we will help scope samples, label fields, and acceptance criteria.
A private evaluation collaboration for medical models. It surfaces failure types against agreed tasks and scoring rules to inform the next training-data plan. Evaluation can reveal gaps; it does not promise score or clinical gains after buying data.