Start a project

Language models inside the software you already run.

GPT, Claude or Gemini wired into your product: search that understands meaning, answers with sources, summaries, drafting and structured extraction — with guardrails and evaluation.

Start a brief about this
AI Integration · a copilot that answers only from cited sourcesIllustrative · fictional business
Illustration: A support copilot answers a refund question with two cited passages from internal policy documents.
  1. 01

    Every claim in the answer points to a passage it came from.

  2. 02

    Only the closest passages are used — seven retrieved, two used.

  3. 03

    No matching source means “I don't know”, not a guess.

What's included.

We wire GPT, Claude and Gemini into the software you already have: retrieval over your knowledge (RAG), semantic search, summaries, drafting and structured extraction — with guardrails and evaluation so answers are right, not just fluent.

On every project

  • A discovery call and a realistic estimate first
  • Working versions on a staging link as it takes shape
  • Confidentiality under NDA from day one
  • Support and improvements after launch
Start a brief
  1. 01

    Retrieval over your documents (RAG)

    Answers grounded in your own documents, with citations your team can check.

  2. 02

    Semantic search and summarisation

    Search by meaning across your knowledge, and summaries of long material.

  3. 03

    Prompt design, guardrails and evals

    Prompts, guardrails and evaluation sets designed and tested like any other code.

  4. 04

    Cost and latency tuning

    The right model for each job, tuned for cost and speed as well as quality.

How we'd build yours.

Four stages, the same on every project — with working versions you can try along the way. How we work

  1. Step 1

    Discover

    We map your documents and the questions people actually ask of them.

  2. Step 2

    Prototype

    Retrieval running on a sample of your real knowledge, with answers you can check.

  3. Step 3

    Build

    Guardrails, citations and an evaluation set wired into the product.

  4. Step 4

    Launch & scale

    Monitoring quality and cost, and re-running evaluations when models change.

Is it a fit?

An honest check before you get in touch — we'd rather point you elsewhere than build the wrong thing.

A good fit when

  • You have a lot of written knowledge
  • People spend time searching or summarising
  • You already have software it can live inside

Probably not when

  • The answers need numbers nobody has recorded
  • A simple search box would do the job

Questions people ask.

TekiTekenza's AI · tap a question to ask
Let's talk

Let's build what's next.

Tell us what you need in a few lines. An engineer reads every brief and replies with questions, a plan and an estimate.

Start a project hello@tekenzalabs.com
  • Replies from engineers
  • NDA on request
  • Clients worldwide