Clinical & data science expertise for healthcare AI.
We bring together specialist clinicians and data scientists to create reliable medical datasets, evaluate AI models and identify clinically important errors before deployment.
30,000+
UK and US clinicians in the BiteLabs network.
- 01All clinicians
- 02Specialty
- 03Region
- 04Matched specialists
Organisations we've worked with across DeepLabel and BiteLabs
The ideal specialist for every task.
- 01Independent reads
- 02Disagreement
- 03Senior adjudication
- 04Agreement analysis
What clients and partners say.
DeepLabel clientDeepLabel project · What our evaluation found
strategy-reachable benchmark trials retrieved
of retrieved trials surfaced in the top third of the screening queue
omitted outcome domains flagged in the protocol, all safety-related
“We commissioned DeepLabel to independently evaluate key stages of our evidence-review workflow against a published systematic-review benchmark. I'm grateful to the DeepLabel team for their work.”
BiteLabs network relationships · from organisations BiteLabs has worked with
“Provided crucial market insights that informed Rad AI's strategy for entering the UK.”
Mike LaChanceDirector of Channel Sales, Rad AI
“As a clinically-led organisation, we have seen great value from our link.”
Hannah GibsonHead of Global Ecosystem, Visiba Care
“The team's combined efforts have resulted in innovative solutions and significant progress in various projects.”
Rav SeeruthunCEO, Health Equity AI
The clinical expertise behind better healthcare AI.
Clinical expertise and data science, without the complexity.
We bring specialist clinicians and PhD data scientists together, so your team can focus on the product.
Specialist clinical expertise
Access clinicians matched to your clinical specialty, data and project requirements.
Data science built in
PhD data scientists set clear review criteria, measure agreement between clinicians and resolve disagreements, so the data holds up.
Tailored to your product
Projects designed around your clinical use case, existing data and development objectives.
Clear, usable results
Structured datasets, evaluation findings and expert assessments that support product decisions.
From clinical challenge to actionable results.
You don't need a finished plan. See how we work →
- 01
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.
- 02
We design the approach
We identify the appropriate clinical expertise, review method, project scope and deliverables, then agree them with you before work begins.
- 03
You get results you can use
Receive structured clinical data, evaluation findings or expert feedback, with quality checks appropriate to the project.
- NDA and DPA as standard
- Every reviewer signs a confidentiality and data protection agreement
- ICO registered (ZB521721)
DeepLabel in brief.
Anything else, just ask on a scoping call.
What is DeepLabel?
DeepLabel is a London-based clinical AI evaluation and medical data company, and the sister company of BiteLabs. Specialist clinicians from the BiteLabs network of 30,000+ UK and US clinicians, working with PhD data scientists, evaluate, annotate and red-team healthcare AI. DeepLabel was founded by Dr Azeem Alam BEM and is part of BiteWorld Ltd.
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.
Which clinical specialties can you cover?
Most clinical specialties, including radiology, ophthalmology, pathology, dermatology, endoscopy, psychiatry and general practice. We draw on the BiteLabs network of more than 30,000 UK and US clinicians and confirm the right expertise for your project during scoping.
Do you work with US healthcare AI companies?
Yes. We work with teams in the UK, Europe and the US. For US clients who need us to handle protected health information, we can discuss a Business Associate Agreement as part of scoping.
How are data access and confidentiality handled?
Under an NDA and a data processing agreement on every project, and every reviewer signs a confidentiality and data protection agreement. Data access and handling requirements are agreed during scoping, before any work begins. See how we handle your data.
Building healthcare AI? Let's talk.
Whether you need specialist medical annotation, clinical AI evaluation or expert feedback on your product, tell us what you're working on. We'll reply the same working day.
Or email admin@deeplabel.io