Service-Based and Data-Driven Revenue Models

Target Application Areas:

Field operation teams, private service providers, and operators affiliated with public institutions.

Model:

  • On-site application and maintenance services
  • IoT-based monitoring and reporting dashboards(subscription model)
  • AI-powered data analytics:larval density, environmental mapping, and performance optimization
  • Long-term service agreements with municipalities and private sector partners

Goal: To transition from a product-focused structure to a Technology-as-a-Service (TaaS) model , generating sustainable revenue through data-driven insights and operational efficiency.