Accelerator Use Case
Women’s health AI-powered WhatsApp health coach for continuous care
Type:
Health tech start-up
Program:
Turn.io Accelerator
Focus:
Women’s health
Location:
Kenya
Reaching 60K+ women by extending care between clinic visits
Cliniva developed AVA, a WhatsApp-based health coach designed to drive follow-through on care, not just awareness. The model combines nurse-led clinics with continuous digital support between visits, addressing where most health risk actually develops: outside the clinic.
Cliniva has reached over 60,000 women in Kenya, with >75% follow-up rates and >90% uptake of preventive services. Work completed through the Accelerator focused on translating clinical advice into daily behaviour support.
AVA acts as a continuous care layer on WhatsApp, helping women turn clinical recommendations into small, realistic actions that fit into daily life.It focuses on the moments where decisions are actually made - supporting everyday choices and reinforcing adherence between visits.
Cliniva has reached over 60,000 women in Kenya, with >75% follow-up rates and >90% uptake of preventive services. Work completed through the Accelerator focused on translating clinical advice into daily behaviour support.
AVA acts as a continuous care layer on WhatsApp, helping women turn clinical recommendations into small, realistic actions that fit into daily life.It focuses on the moments where decisions are actually made - supporting everyday choices and reinforcing adherence between visits.

Impact
60K+
Patients
served
75%
Retention Rate
90%
Uptake of preventive services
Demo:
Watch Cliniva in action
New capabilities include photo-based meal feedback, helping women turn everyday meals into small, actionable improvements, one adjustment at a time.

Patients can ask everyday health questions and receive practical guidance, share meals and receive simple, actionable suggestions, receive personalised reminders based on their routines and be escalated to a clinician when risk signals appear.
The system combines rules-based clinical flows with AI-driven interaction, ensuring both safety and usability. AVA is embedded directly into Cliniva’s care model, linking clinic visits with continuous support between visits. It does not replace providers but extends care into daily life.
This approach shifts care from episodic interaction to continuous support - improving adherence, stabilising risk, and strengthening long-term outcomes.
Current efforts focus on improving voice note functionality and strengthening internal consistency.
The system combines rules-based clinical flows with AI-driven interaction, ensuring both safety and usability. AVA is embedded directly into Cliniva’s care model, linking clinic visits with continuous support between visits. It does not replace providers but extends care into daily life.
This approach shifts care from episodic interaction to continuous support - improving adherence, stabilising risk, and strengthening long-term outcomes.
Current efforts focus on improving voice note functionality and strengthening internal consistency.
LLM Models
used
Chat GPT 4.0 Mini
Chat GPT 4.1 Mini

AI
Built through the Chat for Impact Accelerator
This project was developed through the Chat for Impact Accelerator, a global programme supporting organisations to design, test, and scale impactful conversational services on WhatsApp.
Through the programme, teams work closely with product and technical experts to prototype, launch, and iterate on AI-powered chat solutions that expand access to health, education, and essential services for communities around the world.
Through the programme, teams work closely with product and technical experts to prototype, launch, and iterate on AI-powered chat solutions that expand access to health, education, and essential services for communities around the world.


