Cape Town, South Africa

AI you can build on.

We design data platforms, AI systems and the software around them — engineered, governed, and running in production every day.

What we do

Four things, done properly.

01

AI & analytics

From use case to production: retrieval, models, decision support — and the analytics that prove the value.

02

Data platform engineering

Lakehouse platforms on Azure and Microsoft Fabric. Pipelines, warehousing and semantic models managed as code and refreshed daily.

03

System development

Full custom web platforms: multi-tenant, API-first, configuration-driven. Modern frontends, Python backends, automated testing in CI.

04

Responsible AI & POPIA architecture

Compliance enforced by the platform, not the policy document. Source, purpose and lifecycle controls built into the data itself.

AI is only as defensible as the data underneath it. We build that foundation — so the controls live in the platform, not in a document nobody can prove at runtime.

Track record

Running in production, today.

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companies served across the group and beyond
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industries — including insurance, credit and legal services
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production data pipelines running every day
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automated tests behind the systems we ship

Products

We build our own, too.

Enterprise systems

CRM at enterprise grade

Multi-tenant CRM and case-management platforms for regulated, high-volume client operations.

Consumer apps

Loyalty that pays for itself

Loyalty, rewards and financial-wellness apps that help people save on what they already buy.

Data & analytics

Warehouse to dashboard

Data warehousing and BI analytics — from governed data models to the reports leadership actually uses.

Communication systems

Reaching clients at scale

Omnichannel messaging, voice and automated dialling built into the workflow — every interaction logged.

How we work

A straight line from idea to evidence.

  1. 01

    Discover

    Map your systems, data and the AI use cases already in flight — or planned.

  2. 02

    Design

    The architecture, and the control model the platform must enforce.

  3. 03

    Build

    Lake, pipelines, models and applications — in Azure, as code, with CI.

  4. 04

    Assure

    Evidence the controls: access, retention, records of processing — what an auditor will actually ask.

Who we serve

Regulated, data-heavy, ambitious.

Contact

Let’s talk.

Tell us what you’re trying to build — we’ll tell you honestly what it takes.

info@hpstech.co.za