Capabilities / Data & AI Platforms

The foundation AI runs on.

Make your data AI-ready and keep AI dependable after launch. We build the pipelines, vector search, and LLMOps that keep models grounded in your data, observable in production, and affordable at scale.

Run AI on data you trust, with the visibility to improve it every week.

We start with your users, workflows, and constraints. Then we design the right architecture, validate the hard questions early, and build a system that fits how your organisation actually works.

  • Data engineering & pipelines
  • Vector search & embeddings
  • LLMOps & model monitoring
  • AI evaluation & observability
  • Cost & latency optimization

RELEVANT WORK

See the engineering in practice.

AI KNOWLEDGE PRODUCT
AI KNOWLEDGE PRODUCT

TAZKIA AI

Knowledge at scale. Answers with sources.

A production AI assistant connecting a 44,000+ document collection to citation-backed answers.

HOW WE DELIVER

A clear path to production.

  1. Step 01

    Discover

    Understand the business, the people, and the opportunity.

  2. Step 02

    Architect

    Map the system, its constraints, and the path to delivery.

  3. Step 03

    Prototype

    Test the riskiest assumptions with something tangible.

  4. Step 04

    Build

    Engineer the product with quality and maintainability in mind.

  5. Step 05

    Evaluate

    Check real scenarios, failure modes, and human controls.

  6. Step 06

    Deploy & improve

    Release, observe, and refine with real-world feedback.

START A CONVERSATION

Let’s build what’s next.

Tell us what you want to improve or launch. We’ll come back with a clear, honest view of the best way forward.

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