Solutions — HireKeyz DB-AI
In-database machine learning—insights without moving data.
Industry focus: Finance · SaaS · Enterprise
The business challenge
Why teams bring this to HireKeyz.
Moving sensitive data to external ML tools creates risk, cost, and compliance headaches. DB-AI trains and runs models where the data already lives—inside your database—so insight happens without data movement.
Core capabilities
What HireKeyz DB-AI does.
How HireKeyz implements it
Consult → Customise → Support.
- 01
Consult
We map your workflow, data, and success measures—then confirm fit before anything is built.
- 02
Customise & Integrate
We tailor the solution to your environment and wire it into your systems and controls.
- 03
Support & Scale
We monitor, maintain, and expand it as your usage and ambitions grow.
Use-case examples
Where it earns its keep.
A data team builds propensity and risk models directly on warehouse data under existing governance.
A product team scores accounts inside their operational database without an external ML pipeline.
See HireKeyz DB-AI in your workflow.
