For clinics, laboratories, and healthtech services
We build a B2B edition of Wizey around your goals: AI interpretation of lab results and medical documents, summaries for doctors, white-label, API, patient-facing scenarios, and internal automation.
The key advantage of the B2B edition is deep customization: scenario, features, response format, roles, integrations, and data perimeter are all tuned to your task.
The core value is not a single interpretation, but the way Wizey ties indicators, text documents, and context into a clear result for a patient or a specialist.
Patients get a clear explanation of their results, while the lab strengthens its modern image, adds a digital service, and cuts the number of repetitive questions.
You can automate more than lab interpretations: document summaries, doctor pre-visit prep, request routing, and clear patient materials after a visit.
If you already run an app, a telemedicine service, or a patient portal, Wizey can be embedded as a medical layer for processing text data.
We are not limited to a single form layout. In the pilot we pick a specific scenario and tune the response format to the role, channel, and the organization's protocols.
We do not promise a diagnosis or a replacement for a doctor. We say transparently what we tested and on which data, and how the "the doctor has the final word" principle is built into the product.
Blind testing on 675 questions from a state board examination set in general medicine. Exact Match metric: 620 out of 675.
Methodology and report →The best path for B2B is not a universal deck, but a short pilot on a real scenario: that is how you can check quality, UX, security, and economics before a large rollout.
Lab interpretations, a doctor assistant, document summaries, patient memos, or a standalone automation.
Input data format, disclaimers, tone, result template, access, storage, and constraints.
We check quality on de-identified examples and agree what exactly counts as a good result.
We connect the API, white-label, or a test perimeter and watch the metrics: speed, requests, conversion, NPS.
For medical B2B it matters to agree upfront which data is sent, where it is stored, who has access, and which documents the security team needs.
Access and roles are designed around the partner's perimeter. Technical details are agreed before the pilot launch.
AI interpretation usually does not need names, phone numbers, or extra identifiers. In the pilot we fix exactly what is sent.
The storage, logging, temporary retention period, and result deletion scenario are agreed with the partner's legal and security teams.
When leadership, IT, security, and legal are all involved in a project, each of them needs their own part of the information to evaluate the rollout.
Yes, as long as the medical text is extracted from the file. OCR can run on the partner's side or be discussed as part of an extended pilot.
Yes. In a white-label scenario, the structure, tone, disclaimers, visual template, and where the result is shown are all agreed.
Yes, as a tool for structuring and preparing summaries. The clinical decision is made by the doctor or the medical organization.
A short scenario description, an example of input data without excess personal details, the desired result format, and a technical contact.
Yes. Partners get detailed documentation: rollout scenarios, API, data formats, security, pilot launch, and integration requirements. On the site we show an overview, and we share the full specification after discussing the project.
Yes. In the B2B edition you can configure the scenario, features, response format, user roles, integrations, and data perimeter requirements.
Describe your organization, scenario, and current process. We will suggest a pilot format, the list of data for testing, and a secure rollout framework.