Wabby.
Land Networking's industrial AI assistant. A language model with context, tools, memory and limits, deployed where the data lives and always answering with evidence.
A chatbot is not an assistant
A chatbot is a brilliant intern who has read every library in the world but has never set foot in your plant. The assistant is that same intern with the key to the documentation room, access to the SCADA, and the obligation to cite the source.
Chatbot
- ✕Answers from memory
- ✕Doesn't know which one is your station 4
- ✕Never says “I don't know”
- ✕Can't do anything
Assistant (Wabby)
- ✓Retrieves your documents and your data
- ✓Has access to SCADA, historian and tickets
- ✓Cites a source for every answer, or doesn't answer
- ✓Executes actions, only the allowed ones, under approval
Five layers, all yours
The model is the most famous part, but not the most important one. What matters is what surrounds it: your context, your tools, your permissions.
01Interface
02Agents
03Knowledge (RAG)
04Connectors
05Governance and security
How it connects
Hover over (or tap) each box to see what it reads from there and through which protocol.
Open-standard reads · writes only under human approval.
The model swaps out. What's yours stays.
Wabby runs on open-weights models (Qwen, Nemotron, Gemma, gpt-oss, Mistral…) deployed on your server or at the edge with Ollama or vLLM, or on a commercial API if your policy allows it. Swapping the model changes nothing above it: the context, permissions and citations are yours.
In a few years nobody will buy “an LLM”. It'll be like electricity. What will hold value is the context.
No benchmark figures: they age in weeks.
Watch it work
Three demos under a minute, no voice-over, subtitled, recorded on the real demo.
