After years working inside industry, one thing is clear: operational teams can’t easily use their own data to gain insight. It’s spread across systems, inconsistently structured, and hard to query without deep internal knowledge.
ViewOps is designed to change that. It bridges the gap between locally stored information and AI-powered search, without asking teams to change the way they work.
Our Goal: Accurate answers from relevant data, tailored to each user’s role
At the heart of ViewOps is a simple belief: AI needs structure to be accurate enough for real industrial use.
We’re building a system that can ingest any operational data, intelligently tag it, and route key business information into clean, predefined data models. These structured tables become the foundation for highly accurate answers, powered by deterministic queries and prompt-aware tools.
Around this, we layer more flexible capabilities, vector store, retrieval, memory and prompt generation. This will support broader workflows where perfect accuracy isn’t essential but understanding context is.
ViewOps aims to become the go-to operational intelligence layer for industry — an indispensable part of how teams understand, question, and act on their data.