We help you build AI that doctors trust

If this sounds familiar, you’re not alone:

These are the real challenges most AI developers face today.

Healthcare AI projects struggle not because of bad technology, but because they lack clinical alignment, medical credibility, and trust.

And that’s exactly where we come in.

We bring medical expertise into every stage of your AI development,

so your algorithms become relevant, accurate, and trusted in real practice.

Founded and driven by radiologist passionate about technology, we help AI teams build solutions that reflect real clinical needs.

Our mission is to bring medical expertise into every stage of AI development ensuring that innovation in healthcare is not only advanced but truly useful for doctors and patients.

With us, you can:

Ensure clinical-grade data quality

Get your medical images annotated and validated by experienced doctors, following clear and customized project guidelines.

Build algorithms aligned with real clinical logic

We help you translate medical practice into AI reasoning, so your models make sense to clinicians, not just statisticians.

Validate your solution in real-world settings

Test your algorithm in clinical workflows and get structured medical feedback, similar to early-stage clinical studies.

Understand and overcome doctor resistance

Learn what drives skepticism and how to communicate your solution in a way doctors appreciate and adopt.

Services List:

Make your AI think like a doctor.

Data Check-Up

We review your approach and identify where clinical reasoning can improve your outputs

Your dataset’s health matters.

We analyze its quality, balance, and representativeness making sure it reflects real-world clinical scenarios.

Annotation Blueprint

Guidelines approved by doctors.

Get project-specific annotation guidelines designed by doctors for annotators ensuring consistency and true clinical relevance.

Annotation Quality Audit

From “done fast” to “done right.”

We review your existing labeled data and highlight where clinical accuracy can be improved before it impacts your model’s performance.

Clinical Feedback Loop

Real feedback. Real impact.

Test your algorithm in real clinical environments and gather structured medical feedback, like a mini clinical study without the bureaucracy.

Built by doctors who understand AI

We combine clinical expertise with deep technical insight.

Aligned with real medical practice

Every recommendation is grounded in how doctors actually work.

Trusted by AI developers and medical institutions

We’ve helped teams transform early-stage prototypes into solutions used in clinics.

Saving you time, money, and reputation

No more re-annotating, re-designing, or re-explaining your AI to doctors.

Here’s a few examples how we’ve helped AI teams:

• Helped an orthopedic AI company select balanced MRI datasets from different scanner types, avoiding bias from cherry-picked studies

• Created correction guidelines for segmentation projects, improving annotation consistency by 30%.

• Reviewed mislabeled datasets and restored accuracy using client tools and in-house medical feedback

• Consulted startups on how pathology variations across clinics affect model generalization, preventing future FDA rework.

What our clients say

Your AI deserves to be used.

Let’s create solutions doctors trust and healthcare adopts.