About Us

Built by Those Who've
Done the Work

ClinicDx was not conceived in a boardroom or a research lab. It was built by a team that has spent years in the field, navigating the realities of clinical workflows in district hospitals, managing national-scale EMR deployments, and watching firsthand where digital health systems succeed and where they fall short. That experience is baked into every design decision ClinicDx makes.

Our Origin

Two Million Patients.
One Hard-Won Lesson.

Before ClinicDx, our team spent years building and deploying electronic medical record systems across some of the most challenging healthcare environments in the world. From district hospitals in rural East Africa to national-level rollouts serving entire Ministry of Health networks, we helped digitize clinical workflows for over two million patients across multiple countries and facility levels — from community health centers to referral hospitals.

What those deployments taught us was not primarily a technical lesson. It was a human one. Clinicians working in resource-constrained environments are extraordinarily capable — yet they are consistently asked to make complex, high-stakes decisions with inadequate access to specialist knowledge, incomplete diagnostic information, and documentation burdens that consume time meant for patient care.

No EMR system we deployed solved that problem. It recorded what happened. It did not help determine what should happen next.

ClinicDx was built to close that gap — not as an abstraction, but as a system designed from direct experience of what the gap actually looks like at 11pm in a district hospital with no specialist reachable by phone.

2M+ Patients served across EMR deployments by the ClinicDx team
10+ Years of combined experience deploying health information systems in Africa
Multi-tier Deployment experience from community health centers to national referral hospitals

Our Mission

To give every clinician — regardless of where they practice — the clinical intelligence they need to make confident, evidence-based decisions for every patient, every time.

Clinically grounded

Every feature is validated against real clinical workflows and the constraints of frontline care delivery.

Privacy by design

Patient data sovereignty is non-negotiable. All inference runs on-device, within facility walls.

Open and auditable

The entire codebase is publicly available — no black boxes, no vendor lock-in, no licensing fees.

The Team

Experience That Can't
Be Simulated

ClinicDx is built by practitioners who have spent careers in the field — not studying health systems, but operating them. Our team brings together the technical depth of national-scale infrastructure work with the clinical empathy of people who have seen patients turned away because a diagnosis arrived too late.

Brook A.

Co-founder

Brook brings over a decade of hands-on experience designing, building, and deploying electronic medical record systems across emerging markets. He previously led EMR development and rollout programs that touched multiple countries simultaneously, coordinating with Ministries of Health, international implementing partners, and clinical teams on the ground to bring structured health information systems to facilities that had never had one.

His work spanned the full spectrum of deployment complexity: from configuring OpenMRS in single-clinician community health posts to architecting national-scale infrastructure serving hundreds of facilities and millions of patient records. Brook has a rare combination of technical fluency and implementation realism. He understands not just how to build health technology, but what it actually takes to make it survive contact with the environments it is meant to serve.

EMR Architecture National-Scale Deployments OpenMRS Emerging Markets Clinical AI LLM Fine-tuning

Beza A.

Co-founder

Beza brings deep expertise in clinical health informatics and the operational realities of implementing digital health at scale across resource-limited settings. Her career has been defined by a clear-eyed focus on the gap between what health technology promises and what it actually delivers in the field, and an unwavering commitment to closing it.

She has led EMR implementation programs across multiple health system tiers, working directly with clinical officers, nurses, and district health administrators to adapt digital workflows to the rhythms of real care delivery. Her experience includes overseeing data quality frameworks, clinical training programs, and system governance structures that ensure EMR investments produce durable, trustworthy clinical records rather than just installed software. Beza brings to ClinicDx an exceptional ability to translate clinical need into system design that clinicians actually use.

Health Informatics Clinical Workflows System Governance Training & Adoption FHIR R4 Clinical Data Standards

Jack G.

Machine Learning

Jack brings deep expertise in large language model research and applied machine learning, with a focus on building systems that perform reliably in high-stakes, low-resource environments. His background spans model pretraining, fine-tuning, and evaluation, with particular depth in medical and scientific domains where output quality and factual grounding are non-negotiable.

At ClinicDx he leads the model development pipeline, from dataset curation and training strategy through quantization and inference optimization. His work ensures that ClinicDx-v1 delivers structured, evidence-grounded clinical reasoning on hardware that field deployments can actually afford.

LLM Research Model Fine-tuning Clinical NLP Inference Optimization Evaluation Frameworks

Iddo A.

Clinical Informatics

Iddo comes to ClinicDx from a background at the intersection of clinical medicine and health data science. He has worked across health system design, clinical decision support research, and the translation of medical knowledge into computable formats, with a consistent focus on what AI systems need to get right before they are trusted at the point of care.

His contribution to ClinicDx centers on clinical validation, knowledge base integrity, and the design of outputs that clinicians find actionable and trustworthy. He ensures that the system reasons the way a careful clinician would, not just the way a well-trained model does.

Clinical Decision Support Health Data Science Medical Knowledge Engineering Clinical Validation Evidence-Based Medicine
What Guides Us

Principles We Don't
Compromise On

  • Clinical Safety Above All

    Every output ClinicDx produces is designed to support clinical judgment, never replace it. Safety guardrails, evidence citations, and uncertainty communication are not features — they are requirements.

  • Equity as a Design Constraint

    We do not build for ideal conditions. Offline-first, low-bandwidth, commodity hardware — these are not edge cases we accommodate. They are the primary design target.

  • Radical Transparency

    Open source is not a marketing position. We believe that clinical AI deployed in public health systems must be fully auditable, forkable, and free of vendor dependency — permanently.

Want to work with us or pilot ClinicDx in your facilities?

We partner directly with Ministries of Health, NGOs, implementing organizations, and clinical teams. Reach out to start a conversation.

Get in Touch See the Solution