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Smarter Medical Imaging. Faster Results.

Building Diagnostic Infrastructure for Artificial Intelligence in Developing Regions.

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Join clinics across Africa & US regions already using DycoVue PACS
Clinicians reviewing medical imaging results on DycoVue PACS

Our Products

Purpose-built PACS, RIS, and imaging tools for clinics and hospitals in Nigeria and across Africa

PACS + RIS: Smart Radiology Workflow with AI Image Analysis

A modern, cloud-based radiology platform combining PACS (Picture Archiving and Communication System) for secure image storage and access, and RIS (Radiology Information System) for patient management, scheduling, and reporting. Built for hospitals and imaging centres in Nigeria and across Africa, with AI to speed up diagnosis.

Never lose an Image again

All your images are safely stored and easy to access anytime.

Get specialist reads the same day

Get faster image reports from radiologists when you need them.

Cut your imaging admin time in half

Automate scheduling and reporting to reduce manual work.

DycoPACS cloud PACS and RIS interface for medical imaging

DycoAtlas - GIS Mapping

A powerful location intelligence tool that helps healthcare providers understand patient distribution, optimize service delivery, and plan outreach effectively

Visualize your clinic network

See all your clinics and service areas clearly on a map.

Data-driven planning

Analyze patterns to make informed decisions on resource allocation and outreach.

Improve service delivery

Use location insights to reduce travel time, reach more patients, and serve communities better.

DycoAtlas Analytics Dashboard

What Makes DycoVue Different

Our unique approach combines clinical expertise, equity-focused AI, and adaptable solutions

Clinician-Led Design

Clinician-Led Design

Created by an Advanced Nurse Practitioner to close the communication gap between radiologists and frontline providers. Our solutions are designed with real clinical workflows in mind.

Equity-Driven AI

Equity-Driven AI

Our models are trained on diverse datasets to reduce bias and improve outcomes for underserved communities. We prioritize fairness and inclusivity in our AI development.

Built for All Settings

Built for All Settings

From rural clinics to urban hospitals, DycoVue is optimized for both high- and low-resource environments. Our solutions adapt to your infrastructure and bandwidth constraints.

Primary Care-Friendly

Primary Care-Friendly

Simple dashboards and AI summaries keep primary care providers informed—without added complexity. We focus on making radiology results accessible and actionable for all healthcare providers.

Who We Serve

DycoVue PACS and RIS for imaging centres, radiologists, and primary care teams in Nigeria and across Africa

Imaging Centers
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Imaging Centers

Bring quality radiology services to radiology institutions with limited specialist access

Radiologists
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Radiologists

AI enhanced workflow to help prioritize workflow and reduce burnout in radiology teams

Primary Care Teams
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Primary Care Teams

Streamline your imaging workflow and get faster results for your patients

Our Portfolio

Validated by global health and technology ecosystems

Pilot Overview

Key milestones and our achievements to date

100,000+

Medical Images Stored

600+

Historical Records Digitized

3

Months Duration

What Our Partners Say

Hear from clinics and radiologists already using DycoVue

DycoVue PACS has made it easy to retrieve past images.

Sonographer

DycoVue PACS enables users to store images without the need for physical films.

Radiographer

DycoVue PACS serves as a reliable backup solution for medical images.

Rad Technician

DycoVue PACS makes it possible for clinics to send images together with reports directly to patients.

Sonographer

Our Milestones

Growing from incorporation to real clinical impact and still evolving.

February 2025

Incorporated DycoVue (SaMD-aligned structure)

March — April 2025

Built founding technical & clinical team

May 2025

Began MVP development; established Nigeria operating entity

September 2025

Public pitch validation (Startup Grind)

November 2025

MVP completed

December 2025

Accepted into NVIDIA Inception (technical validation)

January - March 2026

Pilot phase launched and validated in clinical settings, digitized over 100,0000+ images

Frequently Asked Questions

Hear from clinics and radiologists already using DycoVue

Pricing depends on your facility size, number of studies, and required features. We offer flexible plans to suit small clinics, diagnostic centres, and hospitals. Contact us for a tailored quote.

No. Radiologists can securely access and review images remotely from anywhere, enabling faster reporting and specialist collaboration.

Yes, DycoVue is designed with interoperability in mind. Our platform integrates seamlessly with most hospital information systems (HIS), radiology information systems (RIS), and electronic health records (EHR) through standard protocols like HL7 and FHIR. We also provide custom API solutions for specialized integration needs and have an experienced implementation team to ensure smooth connectivity with your existing infrastructure.

DycoVue is designed with an intuitive interface that minimizes the learning curve. Most users become proficient after a brief onboarding session. We provide comprehensive training resources including live sessions, video tutorials, and documentation. Additionally, our support team offers ongoing assistance to ensure your team can leverage all features effectively.

Yes. DycoVue provides cloud PACS and RIS software for clinics, diagnostic centres, and hospitals in Nigeria and across Africa. We run a Lagos pilot and a Nigeria operating entity, and the platform is designed for both urban hospitals and lower-bandwidth clinic settings.

PACS (Picture Archiving and Communication System) stores, retrieves, and shares DICOM medical images such as X-ray, CT, MRI, and ultrasound. RIS (Radiology Information System) manages the radiology workflow: scheduling, patient records, reporting, and tracking. DycoPACS combines both in one cloud system so imaging centres in Nigeria and Africa do not need separate, disconnected tools.

DycoVue is designed for high- and low-resource settings common across African imaging facilities. Cloud storage reduces dependence on on-premise film and local servers, and the workflow is built to keep studies accessible even when on-site infrastructure is constrained. Talk to us about the right deployment for your clinic.

DycoVue is health imaging infrastructure first: cloud PACS, RIS, DICOM storage, and reporting. AI-assisted analysis sits on top of that archive to help prioritize and support reads. Clinics looking for imaging software in Nigeria or Africa can start with PACS/RIS and add AI as they are ready.

Join Us in Transforming Global Healthcare

Invest in the future of diagnostic imaging and make real impact on healthcare access