All features



No coding knowledge
Empowers users to design, implement, and manage automation workflows without requiring any coding expertise. This capability is designed for a wide range of applications, from technical and research-focused tasks to quality monitoring and operational optimization, making automation more accessible across industries.
Multilayer Integration
By creating a fully interconnected ecosystem, businesses can achieve end-to-end automation while leveraging SENSOLIST-IoT’s extensive internal hardware catalog, which includes multi-protocol gateways, robotic solutions, modular data centers, computation units, and a variety of smart-connected devices.

AI-Powered Analytics
SENSOLIST-IoT’s NLP-powered chat assistant allows users to access insights, generate reports, and manage automation workflows through natural language commands. Whether monitoring critical metrics, setting up alerts, or requesting detailed analytics, the AI assistant simplifies interactions and enhances accessibility.


Digital Twin & Digital R&D Sandbox
Our Digital Twin & R&D Sandbox merges virtual sensors, actuators, and assets with no-code automation, data visualization, and advanced database management for AI, big data, and data science applications. It enables real-time simulation, predictive analytics, and process optimization, replacing costly hardware with AI-driven insights. With ML-powered automation, it drives proactive maintenance, real-time monitoring, and intelligent decision-making for scalable, data-driven innovation.

IoT Kitchen
SENSOLIST IoT Kitchen is a one-stop AIoT powerhouse, combining hardware, software, R&D, subject matter expertise, and education into a single, end-to-end accelerator. With the largest catalog of IoT devices, pre-configured solution packages, and custom AI integrations, we enable businesses to develop, test, and deploy AIoT solutions faster and more efficiently than any competitor. Our no-code automation, real-time analytics, and edge computing ensure seamless implementation across industries, making AIoT adoption effortless, scalable, and innovation-driven.