Responsible Health AI for Primary Healthcare

ACHC Foundation advances healthcare, AI, technology, and data to improve real-world primary care delivery in underserved communities.

From research and data systems to deployment in clinics, we turn AI into measurable health impact.

Currently piloting in Ethiopia, Tigray Region (Mekelle) in real-world primary care conditions.

Clinician-Led Deployment

Designed to support frontline workers, not replace clinical judgment.

Multilingual by Design

Built for African languages and real-world care environments.

Research-Backed Scale

Deployment, evaluation, and evidence generation move together.

AI is advancing faster than real healthcare deployment

AI capabilities are advancing rapidly, but remain largely disconnected from everyday healthcare delivery. ACHC bridges that gap by bringing healthcare, AI, technology, and data science together into systems that work in practice.

Limited access to primary careSevere workforce shortagesInconsistent quality of careFragmented data and digital systemsAI tools disconnected from clinical workflows

ACHC exists to ensure that AI in healthcare is not only powerful, but practical, trusted, and deployed where it matters most.

ACHC ensures that advances in AI translate into real improvements in care.

ACHC Platform Access

AI Community Health Copilot - Select your organization type to access your dashboard

Ministry of Health

National health policy and oversight

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Regional Health Bureau

Provincial and district oversight

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Health Facility / Clinic

Local clinic and hospital management

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University / Research

Academic research & evaluation

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NGO / Implementing Partner

Regional program implementation

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Health Worker (Mobile)

Frontline community health worker

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Developer / API Access

Integration and technical development

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Global Partner / WHO

International coordination and standards

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Real implementation context, not a conceptual pilot

ACHC is being validated in real healthcare environments with frontline workflows, structured protocols, multilingual support, and offline-first operating conditions.

Ethiopia — Tigray Regional State (Mekelle)5 Woredas: Central, Ayder, Hawelti, Semien, Debri89 pilot facilities in coverage scope534 target health workers across pilot areasAI-assisted workflows in active field testingOffline-first and multilingual deployment architecture

From innovation to implementation in real care settings

ACHC works across mission delivery, implementation, impact measurement, partnerships, and transparency so responsible health AI can move from promise to practical use.

A closed-loop system for care delivery, oversight, and learning

ACHC operates as an integrated healthcare system layer connecting frontline care, government-defined protocols, structured data capture, program visibility, and research.

Health Worker

Frontline providers use ACHC Copilot in real consultation and triage workflows.

ACHC Copilot

Mobile-first workflows support registration, symptoms, vitals, alerts, and treatment guidance.

Protocol Engine

Government-defined protocols guide care pathways and keep clinical logic aligned to program rules.

Structured Data Layer

Clinical and operational data is captured in forms that support monitoring, reporting, and evaluation.

ACHC Copilot Mobile App Login Mockup

A coalition for healthcare AI infrastructure

ACHC integrates the specialized expertise of implementation partners, core AI engineers, and infrastructure providers to deploy robust clinical systems.

A

ACHC Networks

Primary Implementation

Orchestrating the deployment of AI-powered clinical decision support across rural and urban clinics.

T

Target AI

Algorithm & Model Governance

Developing and localizing the core machine learning models that power the ACHC diagnostic copilot.

I

AIT Infrastructure

Cloud & Hardware Systems

Providing the secure, high-availability cloud architecture required to process clinical data at national scale.

N

Novagrid Technologies

Connectivity & Telehealth

Bridging the connectivity gap by delivering reliable network infrastructure to profoundly remote care facilities.

A clear model for implementation, evidence, and scale

ACHC operates through an integrated model that connects implementation, workforce enablement, data systems, and evidence generation.

Deploy

Implement clinician-led AI decision support in community health posts, clinics, and hospitals where resources are constrained.

Train

Equip frontline health workers with practical digital health skills, onboarding, and continuous support.

Evaluate

Generate real-world evidence through deployment-linked research, clinical evaluation, and outcomes tracking.

Partner

Work with NGOs, governments, universities, and health systems to sustain implementation and scale responsibly.

Advocate

Support policy, governance, and responsible AI adoption so health systems can use these tools safely and credibly.

Small set of real metrics, shown clearly

These figures describe pilot scope, system capacity, and validation progress across real healthcare environments.

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Role-based dashboards configured for pilot operations
6
Clinical protocols active in workflow design
8
Languages supported in pilot care delivery
26
Implemented mobile screens across the consultation lifecycle

A deployable system layer for primary healthcare delivery

ACHC is designed as a deployable healthcare system, validated through pilot implementation and built to connect frontline workflows, protocol governance, data systems, and program oversight.

Trust comes from safe workflows, clear governance, and field-ready design

ACHC combines clinician-led design, protocol governance, research-grade evaluation, and responsible AI controls so ministries, partners, and funders can assess pilot readiness with confidence.

Clinician-led workflow designProtocol-aligned care pathwaysHuman-in-the-loop AI safety modelResearch-grade evaluation in live settingsResponsible AI and data governance controlsDesigned for low-connectivity primary care systems
ACHC Networks
Platform

Developer of the AI Community Health Copilot platform and core clinical decision support system.

Target AI
AI Infrastructure

Multilingual AI infrastructure powering Tigrigna, Amharic, Afaan Oromo, and future language expansion.

AIT Infrastructure
Deployment Partner

Regional implementation leadership supporting local deployment, training, and health system integration across African health systems.

Novagrid Technologies
Energy and Power Partner

Solar and power infrastructure partner supporting reliable implementation environments for healthcare delivery and field operations across Africa.

Ministries of Health
Public Sector

Government partners shaping deployment, adoption, policy alignment, and integration into health systems.

Universities and Hospitals
Evidence and Care Networks

Academic and clinical institutions supporting evaluation, training, governance, and scale-up evidence.

Three clear ways to support deployment and scale

ACHC provides distinct paths for funders, institutions, and partners to strengthen primary healthcare delivery through implementation, evidence, and scale.

Built for ministries and implementation partners

The engagement paths support real deployment planning, not generic interest capture.

Designed for donor and foundation review

Funding conversations stay tied to pilot delivery, workforce support, and measurable health-system progress.

Structured for ongoing institutional visibility

Partners and supporters can follow updates as deployments, research, and governance mature over time.