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Quiet between doctor visits. Thoughtful on the days that need a lift — planning good, health-safe days around the food, music, films, and local places each senior is fond of, powered by Qloo Taste AI.
DengueRadar forecasts which Singapore neighbourhoods will see dengue clusters 2 to 4 weeks ahead, prioritising areas with the most seniors and children so inspectors and residents act early.
Turn scattered work messages into clear, evidence-backed actions.
AI-powered flash-flood intelligence that turns Singapore’s real-time rainfall and flood data into localized risk predictions, early-warning insights, and actionable climate-resilience decisions.
Create a sense of security for the residents no matter rain or shine by having residents on alert at all times even during heavy downpours
HeatGuard links Singapore's live heat-stress readings to where vulnerable seniors live, giving outreach teams a daily list of the 10 neighbourhoods to check on first, a day ahead.
Wolbachia shields half of Singapore's homes, yet 97% of dengue cluster cases now strike outside it. DengueRadar warns each neighbourhood two weeks ahead and shows officers where to act first.
Measuring how long it *really* takes people with accessibility needs to reach essential services in Singapore (rather than just how far), so planners know where to build next.
ZeroWaste Navigator: Singapore’s circular economy intelligence platform
Forecasting dengue risk two weeks ahead so Town Councils can prioritise inspections and outreach before outbreaks spread.
SilverSense turns Singapore open data into explainable social isolation risk and targeted community action for older adults.
HeatGuard maps where heat exposure, elderly vulnerability and limited cooling support overlap, helping communities identify heat-resilience gaps and act where support is needed most.
HealthPulse forecasts where Singapore’s next eldercare gaps will emerge, helping planners invest in community-care capacity before ageing pressure peaks.
One early-warning platform for any environmental hazard: forecast it, find who's most exposed, tell them what to do. Starting with Singapore's heat and haze.
Trend forecasts undercounted Singapore's 2025 population aged 75+ by 15%. Heartland projects each town's ageing population from public data (2.3% median error) and shows where care must grow.
Helping NEA identify, understand and prioritise hawker centres requiring attention through unified insights on accessibility, closure impact and community vulnerability.
HOT SIA forecasts hot nights for every HDB block at 5 pm. With the same number of alerts, it catches 70% of hot nights, vs 60% for NEA's forecast! Care staff and residents get a warning.
HawkerShift helps community coordinators identify HDB blocks at risk of losing walkable access to affordable meals during hawker centre closures, verify alternatives and plan targeted support.
Identifying where seniors are most at risk of social isolation and helping social services reach them before they are overlooked.
Singapore built hospitals faster than it built the community care. Chronic Catchment closes that gap: We don't just predict who'll fall through the cracks — we send them a ride before they do.
HeatGuard ingests live heat data, forecasts tomorrow's risk with ML, and uses hosted AI to plan which blocks outreach teams visit first, on an interactive 3D map. Built end to end on Databricks.
Stay ahead of the heat. HeatGuard forecasts tomorrow’s heat risk and helps Singapore’s seniors find nearby cool places.
Know what an HDB flat is worth, whether you can afford it, and where the market is heading—with comparable sales, ML valuation and 6-month price forecasts.
