How dayli Works
dayli combines Climate data + Health knowledge + AI personalization to deliver real-time, actionable guidance for daily life.
Climate Awareness
Tracks heat and environmental risks in your area.
Health Intelligence
Understands your stage (pregnancy / child care).
AI Copilot
Delivers simple daily actions to keep you safe.
What we are building next
Two development tracks sit alongside Dayli's current WhatsApp companion. Neither is a launched service yet. We describe them here so mothers, clinicians and partners can see where we are heading and how we plan to test it honestly.
Earlier heat guidance for pregnancy
We are working toward integrating Microsoft Research’s Aurora forecasting model into Dayli to explore how weather forecasts can support pregnant women during extreme heat.
Capabilities we are developing
- Advance warnings of forecast periods of elevated heat risk.
- Daily planning guidance for cooler times to travel, work outdoors, or attend appointments.
- Pregnancy-aware heat guidance through WhatsApp, with clear advice on when to seek medical care.
Our planned validation process
- Assess forecast access, geographic coverage, resolution, update frequency, and operating cost.
- Compare forecasts with local observations and existing weather sources across locations, seasons, and extreme-heat events before claiming improved accuracy.
- Have qualified clinicians review pregnancy-specific guidance, escalation wording, and safety boundaries.
- Pilot with consent, measure missed and false alerts, assess clarity and usefulness, and monitor performance before wider rollout.
In development—not a launched or clinically validated Aurora-powered service. Forecast accuracy gains and health benefits have not yet been demonstrated by Dayli. Weather forecasts do not diagnose individual medical risk or replace clinical care. This work does not imply a partnership with or endorsement by Microsoft.
Read about Microsoft Research AuroraConnecting maternal demand with labour-room readiness
We are working toward connecting Dayli's maternal demand signals with StaTwig's Labour Room Readiness tool. The goal is to help facilities anticipate delivery demand alongside readiness planning for doctors, nurses, medicines, hygiene, and other essential resources—before a mother arrives for delivery.
Two complementary roles
Dayli
Could provide aggregate maternal demand signals drawn from the mothers it supports.
StaTwig Labour Room Readiness
Supports facility readiness of doctors, nurses, medicines, hygiene and other delivery needs.
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Dayli
Demand signals
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StaTwig
Readiness planning
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Facility teams
Review and action
Proposed signals to evaluate
- Aggregate counts of expected delivery windows by facility area.
- Aggregate intended delivery location, where a mother chooses to share it.
These are proposals to evaluate, not data Dayli currently collects or shares. We favour aggregate planning signals and do not promise exact arrival prediction.
Our planned validation process
- Agree signal definitions and facility mapping with StaTwig and facility teams.
- Assess completeness, freshness and accuracy of signals against observed delivery demand.
- Test usefulness and alert burden with facility teams.
- Pilot with appropriate permissions before any wider rollout.
Privacy by design
Our design commitment is data minimisation, appropriate consent and access controls, and a review of aggregate versus individual sharing before any rollout. These are commitments for the build, not protections that are already in place.
In development—not yet a live operational service or a validated outcome. Readiness decisions remain with facility teams. This work does not guarantee staff availability, beds, equipment or improved health outcomes.
Real-time guidance when it matters most
Daily health guidance powered by climate intelligence. Not a chatbot. Not a wellness app. A daily decision layer for health in a changing climate.
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Morning Message
Proactive alerts based on the day's forecast.
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Check-in
Simple check-ins to monitor your condition.
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Risk Response
Immediate guidance if a risk is detected.