Pennsylvania-based startup Mosqitter is scaling its mosquito-monitoring ecosystem, integrating hardware traps with a new AI-driven computer vision platform called Febris.
The system processes visual data to identify mosquito species, assigning confidence scores validated by entomologists.
This approach aims to provide institutional clients with high-fidelity tracking data to combat the global rise in dengue fever, which reached 14.6 million cases in 2024.
How traps work
The company, which began its research in Ukraine in 2019, has designed devices that attract mosquitoes by mimicking human characteristics, such as heat, smell and carbon dioxide. To date, more than 5.000 of the devices have been installed on five continents. The company offers a Mini model for home use for $199, as well as a professional Grand system for $1.999.
The Febris monitoring system
The company's new system, called Febris, uses cameras and artificial intelligence to identify the species of mosquitoes being trapped. To ensure the accuracy of the results, the AI's findings are reviewed by entomologists, who assign a confidence score to the data.
This system is mainly aimed at large organizations, such as governments, airports and health services, helping them know which species of mosquitoes are circulating in an area, so that they can plan appropriate actions.
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Activity and goals
Mosqitter has secured a total of $1,9 million in funding to date. The company maintains local production in Brazil, while in Greece it collaborates with an extermination company. With the development of its activities, it aims to exceed $1 million in revenue by 2026.
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