Skip to content
HOW IT WORKS

From clinical challenge to
actionable results.

01 STEP ONE

Tell us what you're building

Share your product, clinical use case, available data and what you need help with. An outline is enough to start.

USEFUL TO SHARE IN A FIRST CONVERSATION

  • Your product and its intended clinical use
  • The data involved: images, clinical text, model outputs or something else
  • What you need to produce or find out: a dataset, an evaluation, expert feedback
  • Your timeline and any development milestones
  • Not sure about some of these? That's fine. We'll work through them together.
02 STEP TWO

We design the right approach

We identify the appropriate clinical expertise, review method, project scope and deliverables, then agree them with you before work begins.

Clinical expertise
Which specialties and experience the task needs, confirmed for your project.
Review method
Single or multiple independent reviewers, and how disagreements are handled.
Criteria and quality
Annotation or evaluation criteria, and quality checks tailored to the project.
Scope and deliverables
What you'll receive, in what format, and when.
03 STEP THREE

Get results you can use

Receive structured clinical data, evaluation findings or expert feedback, with quality checks appropriate to the project.

Structured datasets labelled or reviewed by specialist clinicians
Evaluation findings including clinically important errors and limitations
Expert feedback that explains what should change and why
Documentation of the criteria and process used, where relevant
CHOOSE A STARTING POINT

One service, or several combined.

Many projects need clinical expertise at more than one stage. We can bring services together in one tailored engagement.

EVALUATE Clinical AI Evaluation Test your model's clinical performance and identify important errors. Learn more ANNOTATE Medical Data Annotation & Ground Truth Create reliable medical datasets with specialist reviewers. Learn more TRAIN Clinical Training Data & Expert Feedback Bring expert medical knowledge into model development. Learn more
COMMON QUESTIONS

Before you get in touch.

Anything else, just ask when you contact us.

Do we need a detailed plan before contacting you?

No. Tell us what you're building and what you need to know or produce. We'll help define the right annotation or evaluation approach.

Can you work with our existing data or labels?

Yes. Alongside creating new datasets, we can review existing labels and training data for clinical accuracy, consistency and suitability.

Which clinical specialties can you cover?

We draw on the BiteLabs network of more than 30,000 clinicians and healthcare professionals. We confirm the right expertise for your project during scoping.

Can you combine annotation and evaluation?

Yes. For example, specialists can build a reference dataset, evaluate your model against it and help you understand where performance falls short, all in one engagement.

Do you build or train our model?

No. DeepLabel delivers the agreed clinical and analytical services. Your team remains responsible for building, training and deploying the model.

How are data access and confidentiality handled?

Data access, handling and confidentiality requirements are discussed and agreed as part of scoping, before any work begins.

Building healthcare AI? Let's talk.

Tell us what you're working on and we'll reply the same day.

Discuss Your Project → Book a call
Discuss Your Project → Book a call