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GhaurixLabs

AI features and assistants

AI that answers a real question, with sources you can check.

Most useful AI work is unglamorous: a support assistant that answers from your own help centre, search that understands what people mean, a feature that drafts or summarises so staff can review instead of write. We build these around one clear use case and make their answers verifiable.

Discuss your projectBook a 30-minute call(opens in a new tab)
Built for
Teams that want AI to solve a specific problem, not to demo well.
Problem it solves
Turns repeated questions and piles of documents into fast answers with sources.
Our approach
We start from one measurable use case and keep a person in the loop where accuracy matters.

What we build

  • Retrieval-augmented assistants grounded in your documents
  • Semantic search across knowledge bases and records
  • AI features inside an existing product (summaries, drafts, classification)
  • Review and feedback tools so quality improves over time
  • Guardrails: sources, fallbacks and human hand-off

A good fit when

  • People ask the same questions repeatedly and the answers already exist
  • Staff spend time reading or summarising large amounts of text
  • You want AI inside your product, not a separate chatbot
  • You care about accuracy and want answers that can be checked

How a project runs

  1. Step 1: Pick one use case and one measure

    We define a narrow problem and how we will judge it, for example the share of questions answered correctly from your documents.

  2. Step 2: Ground it in your data

    We prepare your documents, retrieve the relevant passages for each question and show the sources next to every answer.

  3. Step 3: Keep a human in the loop

    Where accuracy matters, the system suggests and a person approves. Feedback from reviewers feeds improvements.

Related concepts

Related reading

Questions about ai features and assistants

Tell us what you're building.

A clear brief is all we need to start. We will tell you plainly whether we can help and what a sensible next step looks like.

Discuss your projectBook a 30-minute call(opens in a new tab)

Prefer email? saad@ghaurixlabs.net

What happens next

  1. You send a brief

    A few lines on the problem and the outcome you want.

  2. We reply within a business day

    With questions, or an honest view on whether we are the right fit.

  3. We talk it through

    A short call to understand scope, constraints and priorities.

  4. You receive a written proposal

    Scope, approach and cost in writing, before any code. There is no price list: the proposal is the price.