We understand the work before we build the technology.
LevantBase focuses on AI solutions, application development, enterprise data, and digital experiences. This direction combines an understanding of systems and reporting on one side, with work on products and experiences people actually use on the other.
That is why we do not treat the application, the data, and the interface as separate parts. We review how they connect, who uses them, and how they can be operated and developed.
Meet Hani Alnatour
Founder, LevantBase
Hani has experience in enterprise environments in Germany, connecting business needs with data sources, reporting, and systems. His experience covers finance and procurement reporting, SAP analytics, and data platforms and business intelligence.
He holds a master’s degree in quantitative finance. That background helps him read numbers in their commercial context, rather than as data detached from the decision.
Today his work extends to digital product development and AI applications, with a focus on data quality, testing results, and user experience. He is the founder of Freeme, and leads system design, engineering direction, and delivery review across his projects.
How we work
We start from the need
We define the problem, the required outcome, and the users involved. We make clear what is in scope and what stays out.
We review what exists
We understand the current data, systems, and procedures before proposing to replace them or add new tools.
We build a testable scope
We start with a part that can be tested, and use feedback to correct direction before expanding.
We review the result
We test functionality, user experience, and output accuracy. In AI solutions, we also define when the system should stop or ask for review.
We make operating requirements clear
Hosting, permissions, integrations, monitoring, and maintenance responsibilities. These are part of the solution, not details postponed to the end.
What we care about
- Clear scope
- Knowing what will be built, why, and how it will be tested.
- Traceability
- Knowing where information comes from and how it is used.
- Control
- Defining the permissions and approvals required.
- Maintainability
- A build that can be understood and maintained, not permanent dependence on an opaque solution.
Let’s talk about the challenge
Tell us what you want to change and the outcome you expect.