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AI-powered decision-making.

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Combining human ingenuity and AI to turn millions of data points into clear guidance on what to deploy, where, and when — for governments and operators at national scale.

01 · Why it matters

Better decisions, earlier.

Combining human expertise and AI to turn millions of data points into clear guidance on what to deploy, where, and when — for governments, operators and organisations working at scale.

Flyttr helps teams anticipate emerging risks, understand where resources will have the greatest impact, and evaluate response options before committing time, budget or people in the field. From forecasting and hotspot identification to scenario modelling and operational planning, the platform transforms complex information into practical decisions that can be acted on with confidence.

01

Multi-scale risk prediction

From the national level down to individual streets and buildings — risk modelled in seconds, continuously updated.

 

02

Prioritised intervention plans

An AI engine that instantly generates ranked action plans tailored to local context — so resources go where they’ll have most impact.

 

03

Plain-language AI agents

Ask the platform anything — query risks, generate briefing reports or simulate scenarios in plain English. No analyst required.

Case study · Flyttr Dengue · Brazil

Dengue intelligence at national scale.

5,000

Brazilian cities covered

100M

Buildings mapped

200M

People reachable

8 weeks

Forecast horizon

01
Hyper-local risk maps
Predict dengue risk down to individual buildings and neighbourhoods — not just cities or regions — updated weekly across 5,000+ Brazilian cities.

02

8-week forecasting
Continuously updated predictions give health teams time to act weeks before cases spike — moving from reactive to anticipatory public health.

03

AI assistant
Query risk levels, generate briefing reports and simulate “what-if” scenarios in plain language. No data analyst or GIS team required.

04

Prescriptive actions

Expert-validated, prioritised intervention recommendations — not just data, but a clear brief on where to act and what to deploy.

Illustrative users
City health authorities

Identify emerging hotspots up to two months ahead — directing spraying, outreach and preventive action where impact is greatest.

Private sector
Anticipate dengue risk at specific locations to protect workforces, adjust operations and reduce business disruption before outbreaks arrive.
National ministries
Integrate multi-week forecasts into national disease surveillance, optimising vaccine rollout and vector-control budgets at scale.

The rest of the platform

01
Autonomous pest sensing.
03
Biological countermeasures.
04
Rapid innovation & scale-up capacity.

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