The number of IoT and cyber-physical systems will be growing in the comingfuture. According to estimates, more than 21 billion IoT devices are expectedto exist by 2025. The adoption of Digital Twins and AI-enhanced IoTapplications is projected to fuel the expected increase in IoT spending.It is essential to accelerate the development., deployment, and administrationof these IoT applications, which can be accomplished by orchestrating IoTcomponents, devices, services, and systems. IoT Intelligence orchestrationposes several obstacles that must be overcome for a wide range of domainspecific use cases and applications to follow and support business logic.This thesis aims to create a secure and full proof way of orchestratingintelligence within IoT devices from multiple ecosystems.It also aims tobreak down the current approach of monolithic development and introduce amixture of visual programming and distributed systems considering all thenecessary cyber-security aspects,.A comparison of the developed framework and the existing tool with thenecessary characteristics like security, response time and the accuracy too isincluded.of the thesis.