Haive The React front end we built for an AI knowledge tool
Haive is an AI knowledge management product that centralizes and retrieves organizational information. We built the React interface around semantic search that returns answers next to the documents they came from. The hard part was making machine-assisted retrieval feel fast and trustworthy at the same time.
- Web Development
- Backend Engineering
Haive The React front end we built for an AI knowledge tool - what we built and why.
Haive is an AI knowledge management product that centralizes and retrieves organizational information. We built the React interface around semantic search that returns answers next to the documents they came from. The hard part was making machine-assisted retrieval feel fast and trustworthy at the same time.
What we had to solve.
AI search only earns use when people believe the answers, so the interface had to surface sources, stay responsive while large knowledge bases indexed, and respect who can see what.
- 01
Designing a search experience that surfaces AI answers alongside their sources
- 02
Keeping the interface responsive while large knowledge bases index in the background
- 03
Presenting automation and suggestions without making users feel overruled
- 04
Handling permissions so teams only retrieve what they should
- 05
Maintaining a coherent UI as the feature set expanded
Who built it.
- 2 React Developer
- 1 UI/UX Designer
- 1 Backend Developer
- 1 QA Engineer
Built with.
-
React
-
{ 01 }
Intelligent search
We built a semantic search UI that returns answers alongside the source documents, so users can verify before they trust.
-
{ 02 }
Knowledge workspace
We built a central workspace where teams organize, tag, and structure their content.
-
{ 03 }
Automation rules
We built rule-driven workflows that route, summarize, and surface information without anyone doing it by hand.
-
{ 04 }
Collaboration layer
We built shared context into the product so teams build on each other's knowledge instead of re-finding it.
Outcomes that matter.
The client got a retrieval experience that is sourced rather than keyword-bound, so teams spend less time hunting for information and trust what they find.
-
70%
faster information retrieval
-
2x
knowledge reuse across teams
-
99.9%
search availability
Where it landed.
A React front end that makes AI knowledge retrieval fast, sourced, and credible.
Like what you see? Let’s build something for your team.
Have a project in mind?
Tell us where you are — pre-discovery, mid-build, or scaling. A senior engineer or designer will reply within one working day. No SDR, no slideware.
Share your context
Idea stage, mid-build, or scaling — tell us where you are. We sign an NDA before any specifics.
Speak to a senior
A senior engineer or designer joins the call within two working days to map your goals and constraints.
Get a real plan
A scope, an engagement model, and a delivery timeline tailored to your stage. No slideware.
Have a project in mind?
Tell us where you are — pre-discovery, mid-build, or scaling. A senior engineer or designer will reply within one working day. No SDR, no slideware.