We build OQLIS, and help you run it

OQLIS began as a data intelligence platform: dashboards, data automation and machine learning in one product, sold with unlimited users and often run on the customer's own servers. It is now an enterprise OS: an AI harness that answers questions and builds work on that same data platform.

We are a team of engineers, data specialists and consultants. We build the product, and our data team helps customers model, load and report on their data when they want help.

Email the team

  1. Computing AI and Machine Learning Awards 2022, finalist
    2022 AI and Machine Learning Awards Finalist, Computing awards.
  2. ONCON Icon Awards 2023, Top 50 Data and Analytics Team
    2023 Top 50 Data and Analytics Team Winner, ONCON Icon Awards.
  3. Datafest 2024, Data Project of the Year
    2024 Data Project of the Year Datafest, Dalebrook Media awards.
  4. 2026 The enterprise OS Five perspectives, agents and one AI gateway.

OQLIS is a DocuWare Certified Product for reporting on DocuWare workflows.

How we start with you, in 4 steps

Most customers see OQLIS on their own data before they decide anything.

1. See it on your work

A demonstration built around the questions your teams ask today.

2. Prove it on your data

A short proof of concept on your own systems. At the Namibia Institute of Pathology it took three weeks.

3. Install where you choose

On your own servers or in OQLIS Cloud, connected to your data, sign-in and AI keys.

4. Grow with support

Email, voice or premium support by plan, and our data team when you want more hands.

Data services from the team that builds OQLIS

Ask about data services, at a day rate

  • Data engineering and pipelinesFinding the right data, extracting it and keeping it in step with your systems.
  • Warehouses and databasesFast analytical stores, such as ClickHouse, set up and run within your governance rules.
  • Analytics and reportingAnalysts who model your data and build the dashboards and reports your teams need.
  • Applications on OQLISData-heavy apps and data products built on the platform, in a fraction of the time.
  • AI and machine learningFinding where AI helps your business, and choosing and building the right approach.