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Enterprise Knowledge Search

Flintyst

Techyst built Flintyst to turn scattered company knowledge into direct, verifiable answers while preserving each source system's access controls. Open Flintyst ↗

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/001/Type
Our product
/002/Industry
Artificial Intelligence
/003/Platform
Web Platform
/004/Focus
Enterprise Search + Retrieval-Augmented AI

Overview

The
gist

Flintyst connects documents, messages, tickets, wikis, and code, then makes that knowledge available through natural-language search and purpose-built assistants. Every answer points back to the passages used to produce it.

Problem → fix

Why we
built it

We kept hitting the same annoying problem, so we built the thing we wanted to use.

/001/Challenge

The product problem

Company knowledge is distributed across many systems and often buried behind different search experiences. Generic AI tools can produce confident answers without evidence or expose information beyond a user's access.

/002/Solution

What the experience needed

Flintyst combines connected indexing, permission-aware retrieval, natural-language answers, citations, and scoped assistants in a self-hosted system designed for verifiable enterprise use.

Capabilities

What we
built

The core product work, feature by feature.

  1. /001/

    Connectors for documents, messages, tickets, wikis, and code

  2. /002/

    Natural-language search and grounded answers

  3. /003/

    Passage-level citations for verification

  4. /004/

    Role-specific and source-scoped assistants

  5. /005/

    Permission-aware retrieval on every query

  6. /006/

    Self-hosted indexing, embeddings, and model infrastructure

Outcomes

What it
made possible

  • Faster access to knowledge already held across company tools
  • Answers that teams can verify against original sources
  • Enterprise AI search with permissions and infrastructure under company control

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Your move

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