AI that answers from your own data

Large language models are only as useful as what they know about your business. We build assistants and workflows grounded in your documents and systems, with sources you can check and guardrails you control.

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What we build

AI-Powered Solutions, end to end

RAG apps, vector search and automated LLM workflows.

  • RAG assistants

    Chat over your docs, policies and knowledge base, with answers that cite their sources.

  • Semantic search

    Vector search that finds what people mean, not just the words they type.

  • Support copilots

    Draft replies and summaries for your support or sales team to review and send.

  • Document extraction

    Pull structured data out of invoices, forms and contracts automatically.

  • LLM workflows

    Multi-step automations that classify, route and act on incoming information.

  • Evaluation & guardrails

    Test sets and checks that measure accuracy and keep outputs on track.

How we approach it

Principles we don't compromise on

The habits behind every project, so you know what to expect before we start.

Tools we use
  • OpenAI
  • Claude
  • LangChain
  • pgvector
  • Python
  • TypeScript
  • Next.js
  1. 01

    Grounded answers

    Responses come from your data, with sources, so they can be verified.

  2. 02

    Measure before scaling

    Evaluations show how well it works before more people rely on it.

  3. 03

    Privacy by design

    Clear rules about what data is sent where, and who can see what.

  4. 04

    People stay in control

    Humans review the decisions that matter. AI does the legwork.

FAQ

Questions, answered

What people usually ask before starting on AI-Powered Solutions.

  • We use the business APIs of providers like OpenAI and Anthropic, which don't train their models on your data by default. Access to your documents is limited to what the assistant needs, and you decide what it can see.

  • We ground answers in your own documents, show the sources, and design it to say when it doesn't know. Before launch we test it against real questions from your business. No AI is perfect, so people stay in control of anything important.

  • Yes. It can draw on documents, help-centre articles, databases and internal tools, and can be added to your website, app or the tools your team already uses.

  • Usually not. Your existing documents, FAQs and past support conversations are often enough. We start with a small pilot, measure it, then expand.

More from Alqaz

Other ways we can help

Most projects mix a few of these. We handle them together, so nothing gets lost between teams.

Have an idea? Let's build it together.

Tell us what you're working on and we'll come back with honest advice and a clear next step.

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