WislaSearch - private AI knowledge assistant
Like a private ChatGPT for your company's own knowledge - it answers staff questions from your internal data, never goes online, and never guesses. Built by WislaCode, deployed on your infrastructure.
Documents, databases, wikis, APIs, chat history - the answer your team needs already exists somewhere, but people waste hours hunting for it, and your experts spend their day answering the same questions. WislaSearch turns all of it into one assistant that answers instantly, from your own data, without sending anything outside.
It unifies the documents, databases, APIs, messengers and email your knowledge is scattered across, and answers from all of them in one chat.
It runs entirely on your own infrastructure. No data leaves your network and nothing goes to a public model - it only knows what you give it.
Instead of a list of files to open, you get a direct, context-aware answer that cites the source document it came from.
If the answer is not in your data, it says so. The retrieval-augmented design keeps responses grounded in your own content, not the open internet.
It connects to file stores, databases and internal or external APIs, so it fits the systems you already run rather than asking you to move your data.
Run fully local open-source models for maximum privacy, or connect a cloud model where that suits - the architecture supports both.
A member of staff asks a question through a simple chat interface, in their own words.
WislaSearch searches your indexed internal sources - documents, databases, APIs - for the passages that actually answer the question.
A language model composes a clear, context-aware answer from those passages and cites where it came from, so the answer is checkable.
Users can rate answers, and the system keeps context across a conversation, so day-to-day use makes it more useful.
For finance, insurance, legal and other regulated teams, the data is the whole point - and the whole risk. WislaSearch is built to deploy inside your own environment: no external data transfer, no third-party model seeing your documents, and retrieval grounded in your content so the assistant cannot wander off into the open internet. You keep full control of where your knowledge lives.
You do not need a long programme to find out whether this helps. A WislaSearch pilot runs on your own infrastructure, gets you useful answers within about a week of launch, and carries no long-term commitment - if it is not a fit, you simply turn it off. It is a low-pressure way to see how an internal AI assistant changes your day-to-day.
WislaSearch is a shipping WislaCode product with its own site, wislasearch.ai, and real deployments behind it. See how we put it to work in our AI search assistant case study, or read more about our AI and ML development.
Tell us what your team spends its time searching for, and we will show you what WislaSearch can do with your own data.