NetLume
Website unreachable since Oct 22, 2026
NetLume provides a low-code platform for rapidly prototyping and deploying AI systems and large-scale Industrial IoT networks. The platform combines RDFs/Ontologies for semantic data modeling with drag-and-drop tools, real-time connections, and simulations, enabling fast proof-of-concept development. It also offers smart APIs that expose Digital Twin data to third-party applications and support automated machine learning pipelines.
- Internet of Things
- Artificial Intelligence
- Developer Tools
- Manufacturing / Industry 4.0
- Software Only
- Data & Analytics
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Building AI and Industrial IoT solutions typically requires extensive custom coding, complex data integration, and significant development time. This makes rapid prototyping difficult and slows down the deployment of connected solutions at scale.
Solution
NetLume offers a low-code platform that combines RDFs/Ontologies with AI integration for rapid prototyping of IoT networks and real-time analytics. Users can build AI systems using drag-and-drop tools, real-time connections, and simulations, reducing the need for manual coding. Once connected to a network's Digital Twin, all data becomes accessible through NetLume's smart APIs, which can be used by third-party applications or to run automated machine learning pipelines within the platform itself. The platform also supports low-code analytics pipelines that integrate existing NetLume-based analytics with custom AI solutions, enabling unified and simplified lifecycle management for connected solutions.
Target Audience
Primary users are industrial IoT solution developers, AI engineers, and organizations seeking to rapidly prototype and deploy large-scale connected solutions with minimal coding effort.
Features
- Drag-and-drop rapid prototyping of AI systems based on data discharges, real-time connections, and simulations
- Use of RDFs/Ontologies for structured semantic data modeling of IoT networks
- Smart APIs exposing Digital Twin data for third-party application integration
- Capability to run automated machine learning pipelines directly within the platform
- Low-code analytics pipeline integrating existing analytics modules with custom AI solutions
- Digital Twin serving as a single point of reference for all structural information across AI solutions