Enterprise AI Search

Ask your company anything.

KnowWiz is self-hosted AI chat and search connected to your docs, apps, and people. Cited answers from your own knowledge, running in your own infrastructure.

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  • Deploys in your VPC or on-prem
  • Every answer cites its sources
  • Sensitive values tokenized before the model
KnowWizOnline
Connect
8 sources syncing
Index
hybrid search ready
Ask
answered with 6 citations
Govern
source permissions enforced
See it in action

Watch a sensitive value get masked, live.

The question is typed with a real-looking PAN. By the time the model reasons about it, the trace shows only a token. Real product, real trace, and a cited answer at the end.

app.knowwiz.ai
Unedited product session; only the silent processing wait is sped up.

Searches across the tools your teams already use

Google DriveSharePointConfluenceSlackJiraGitHubSalesforceZendesk

The platform

A full AI workbench, not just a search bar.

Research, not just retrieval

Agentic RAG plans its searches, reads across sources, and assembles a cited answer. Deep research mode turns hard questions into structured, multi-step reports.

Built for teams

Custom agents with their own instructions, knowledge scope, and actions. Give each team an assistant that knows their corner of the company, and share what works.

Answers you can verify

Hybrid keyword and vector retrieval, grounded in your documents. Every answer links back to its sources, so a claim is one click from its evidence.

Your models, your rules

Anthropic, OpenAI, Gemini, or fully self-hosted through Ollama and vLLM. Swap providers without rebuilding your knowledge layer. Role-based controls throughout.

Why grounded

Generic AI chat can't see inside your company.

Knowledge lives across drives, wikis, tickets, and chat threads. People re-ask questions that were answered months ago, and public chatbots either don't know or make it up.

50+

Sources. One search bar.

Wikis, drives, tickets, code, and chat, indexed into a single permission-aware layer.

Generic AI chat

Answers from nowhere

No access to internal knowledge, so it guesses. Answers are unverifiable, and every document pasted in leaves your control.

The KnowWiz approach

Grounded in your documents

Answers come from your own sources, with citations. Retrieval respects source permissions, and everything runs where you deploy it.

How KnowWiz works

Connect. Index. Ask. Govern.

Four steps from scattered documents to answers your teams can verify.

Connect

Connect your knowledge sources

Point KnowWiz at the systems where work already happens. Connectors sync incrementally and pick up changes, additions, and deletions automatically.

  • Google Drive, SharePoint, Confluence, Notion
  • Slack, Teams, Jira, Zendesk, Salesforce, GitHub
  • Web pages, file uploads, and custom sources via MCP

Data protection

Ask everything. Expose nothing.

AI search only works if you can point it at your most useful documents, and those are exactly the ones with customer records, financials, and identifiers inside. KnowWiz can detect sensitive values and replace them with format-preserving tokens before anything is indexed or sent to a model.

0

Raw identifiers in the index or the prompt.

Detection and tokenization run inside your boundary, values keep their shape so search still works, and every masking action is recorded.

Typical RAG stack

Raw values everywhere

Documents go into the index as-is, prompts carry whatever the user pasted, and sensitive identifiers ride along to the model on every question.

KnowWiz

Tokens travel, values stay

Sensitive values, including regional identifiers like Aadhaar, PAN, IBAN, and national IDs, are tokenized at ingestion and on the prompt. The raw value never sits in the index or leaves for inference.

The trace does not lie

The model never sees the value.

The user typed PAN ABCDE1234F. In the model's reasoning it appears only as the token IN_PAN_79c7ca06cce9, and the saved conversation keeps the token too, not the value.

app.knowwiz.ai
KnowWiz reasoning trace showing a typed PAN replaced by a format-preserving token
Actual reasoning trace from the product. The raw value stops at your boundary.

Integrations

Works with the stack you have.

Connectors for your knowledge sources, sign-in against your identity provider, and models from any major provider or your own GPUs.

  • Drive
  • SharePoint
  • Confluence
  • Slack
  • Jira
  • OIDC / SAML
  • Ollama
  • MCP

Google Drive

Documents

SharePoint

Documents

Confluence

Wiki

Notion

Wiki

Slack

Chat

Jira

Tickets

Zendesk

Support

GitHub

Code

Salesforce

CRM

Ollama

Self-hosted models

Use cases

One layer, every team.

Company-wide answers

Policies, processes, and institutional memory, answerable in one place. New hires stop interrupting and start finding.

Engineering

Runbooks, design docs, incident history, and code context. The answer to "has anyone dealt with this before" in seconds, not a channel-wide ping.

Sales

Past proposals, deal context, and product answers pulled from the sources your team maintains, cited so reps can trust what they send.

Support

Grounded answers drawn from tickets, docs, and internal notes. Agents resolve faster, and the answer trail shows exactly where each claim came from.

50+

Connectors for the tools your teams already use

100%

Self-hosted: index, models, and pipeline run in your infrastructure

1

Search bar across every connected source

0

Documents that leave your environment

See it on your own docs

The best demo is your own knowledge.

A 30-minute working session: connect a source, watch the index build, and ask real questions against your own documents.

Book a demo

Self-hosted pilot on your infrastructure. Your data never touches ours.