The hardest step in a data transaction is often not the price, but “finding the right counterpart”. We provide a single entry point where providers and users of data register their needs: AI performs supply-demand matching first, screening out likely partners; professional consultants then follow up in person and turn the match into an executable, compliantly deliverable proposal.
Suppliers and the demand side each register their needs and resources; the platform handles initial screening and the matching mechanism, and holds the compliance line at the delivery stage. You don't need to understand the whole market first — just state your own part clearly.
Suppliers register the data resources and service capabilities they can offer; the demand side registers use scenarios, required fields and application goals. Both sides fill in a structured template, avoiding repeated back-and-forth caused by information asymmetry.
Calculate supply-demand fit across dimensions such as domain, data format, coverage, compliance status and delivery method, output a candidate match list with matching reasons, and narrow the field quickly.
Matching is only the starting point. Consultants speak with both sides separately to clarify real needs and constraints, help define the authorisation scope, purpose of use and delivery method, and turn the match into a workable proposal.
Delivery is completed in a secure and trusted environment, with the method chosen by data tier; the transaction and delivery process is recorded and the data destination is traceable, supporting later audit and record retention.
Every step produces a concrete deliverable: a registration form, the conclusion of initial screening, a shortlist of matches, a follow-up plan and a delivery record.
Fill in the registration form online, describing the resource or need, the scenario and any constraints. About 5–10 minutes.
Check the completeness of registration information and its compliance boundaries, confirming whether it is tradeable and has a clear use scenario.
Calculate supply-demand fit scores across multiple dimensions, output a candidate list with matching reasons, and sort by priority.
Consultants speak with both sides separately to clarify needs, delineate the authorisation scope and purpose of use, and form an executable proposal.
Choose the delivery method by data tier, complete delivery in a secure and trusted environment, and keep a process record.
We do not buy or sell raw medical data directly. What circulates on the platform is compliance-assessed data products and service capabilities with clear boundaries.
De-identified datasets organised around specific research directions, with field definitions, time range, sample size and missingness clearly stated, making it easy for the demand side to assess usability.
Whether a dataset can be traded depends on whether three things can be stated clearly: whether its source is legally authorised, whether its use scenario is well defined, and whether its scope and term of use are delimited.
Data capability is delivered as a service: helping data holders complete resource inventory, unify definitions, assess quality and produce annotations, yielding usable, auditable data resources.
Call data service capabilities through interfaces within the agreed scope; call counts and purposes are measurable and auditable, preventing the data from being copied and taken out wholesale.
Data models trained for specific disease directions and packaged agent applications can be called by care providers, research teams and industry partners within the authorised scope.
Models and agents can be deployed privately within the demand side's environment, or offered as controlled service calls; domestic IT environment deployment requirements are supported.
Value is delivered as analytical conclusions and reports rather than raw data. This format is friendlier to data holders and also meets the practical needs of research and partner organisations.
Research-type delivery also requires a clear purpose of use and publication scope: whether it can be used for regulatory submission, whether external publication is allowed, whether the data holder must be listed as a co-author, and so on.
If you have data or service capability to offer, register the resource first; if you have a use scenario and data needs, register the need first. Both sides enter the same matching and follow-up process.
Suppliers register the data resources and service capabilities they can offer, while the demand side registers use scenarios and required fields. A structured template makes the two sides' information comparable and gives later matching a solid basis.
AI calculates fit scores across dimensions and outputs a candidate list; human consultants then take over to clarify needs and define the authorisation scope and purpose of use, turning matches into executable, compliantly deliverable proposals.
Both want to “find the right counterpart, state the boundaries clearly and deliver solidly”. The only difference is the questions each side cares about.
Compliance requirements for medical data transactions are higher than for ordinary data. We set out the boundaries that cannot be crossed, so that neither side invests time on a false premise.
Data is not an ordinary commodity: its ownership, use and destination must all be agreed in advance. We would rather ask a few more questions at the registration stage than leave anything unclear after delivery.
Data Transaction · Registration notesYes. Simply describe the resource situation and general direction in the registration form. During follow-up, a consultant will help identify which data products could be formed, where the boundaries lie, and which compliance materials need to be added.
No. AI only screens out potential partners and the reasons for matching, narrowing the field; whether to proceed and on what terms is agreed by both sides at the human follow-up stage, with the necessary procedures completed as compliance requires.
Where registration information is complete and the scenario is clear, initial screening and matching usually produce a preliminary result within a few working days. If key fields are missing (such as use scenario or data scope), we will contact you to fill them in first, and the overall time extends accordingly.
No. Registration information is used only for initial screening, matching and follow-up, with access isolated by role; it is not displayed on the website or any public channel. Anything that needs to be disclosed to potential partners will be confirmed with you in advance.
Registration and matching carry no upfront fee. If the relationship later moves into substantive cooperation, the service content and fee structure will be set out clearly in the proposal and agreement; no fees arise without an agreed basis.
Register your resources and needs; AI matches first, then a professional consultant follows up to make it happen. We will confirm the next step with you after initial screening.
