Lutz Roeder
Develop high-quality developer tools and visualizers that improve transparency and understanding of complex software and AI models.
At a Glance
- AI Researchers
- Deep Learning Engineers
- .NET Developers
AI Tools by Lutz Roeder
(1)
Netron
Neural Network Model Visualizer
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Latest News
On AGI: Exploring timelines and definitions of Artificial General Intelligence
Tiny Agents: Minimal implementations for coding and research agents
Tiny Models: Understanding transformer inference with minimal code
Beyond Alignment: Aligning human values with AI development
Products & Services
A visualizer for neural network, deep learning, and machine learning models. Supports ONNX, TensorFlow, PyTorch, Keras, and more.
A collection of minimal coding, computer-use, and deep research agents using the OpenAI Agents SDK.
A personal website and blog generator with less than 500 lines of code.
Industry standard .NET decompiler and assembly browser (sold to Redgate in 2008).
Market Position
De-facto standard for neural network visualization with the broadest framework support in the industry.
Leadership
Founders
Lutz Roeder
Principal Software Engineer at Microsoft working on Dev AI Incubation. Previously a Software Architect at Microsoft. Creator of .NET Reflector and Netron.
Executive Team
Lutz Roeder
Creator / Principal Software Engineer
Principal Software Engineer at Microsoft (Dev AI Incubation); extensive experience in software architecture and developer tools.
Founding Story
Lutz Roeder started developing .NET Reflector in 2001 as a way to explore and decompile .NET assemblies. It became a must-have tool for the developer community and was later sold to Redgate. He later applied the same principles of transparency and visualization to the AI world by creating Netron.
Business Model
Revenue Model
Open Source / Community Project (Netron); formerly Licensing/Acquisition (.NET Reflector).
Pricing Tiers
Open source via GitHub
Target Markets
- AI Researchers
- Deep Learning Engineers
- .NET Developers
- Neural network model debugging
- AI research and interpretability
- Software reverse engineering
- Developer productivity
- Microsoft
- NVIDIA
- Amazon