Specialized AI agents that analyze your data, cite their sources, build institutional knowledge, and work entirely inside your infrastructure.
Analysis agent
INSIDE YOUR NETWORK
Andexa did not begin as a theory. It was built against a real constraint: institutions that own their data yet cannot turn it into knowledge without letting it leave their walls.
The answer was proven inside one of the most sensitive environments in the Kingdom, and the leading hospital of the Middle East. Every stage of processing ran inside the hospital's own environment. Its data never left.
Not a policy. An architecture.
The full system deploys in your data center, your private cloud, or a Saudi sovereign domain. Fully air-gapped where the mission requires it.
Compliance with PDPL and NCA ECC is not a contractual promise. It is an architectural property.
Each agent is built for one discipline and hands its work to the next. The orchestrator makes them answer as one.
In most organizations, knowledge walks out with every departure and sleeps in forgotten folders. The memory layer changes what your institution keeps.
Knowledge accumulates and never resets. The longer Andexa serves your institution, the more it knows about how your institution thinks.
We share partner references in full during the assessment, under NDA where required.
No. We deploy the agents entirely inside your data center or private cloud, with access you define. All processing runs locally. Your data does not leave, and we hold no access to it. The architecture itself delivers PDPL compliance, not a policy.
Those tools require sending your data to external servers, which regulators do not permit for sensitive data. Andexa runs locally and builds an institutional memory from your own history. They answer questions. We build institutional intelligence.
Duration depends on the scope of the proof of concept, the solution architecture and the use cases required. Implementation is flexible and adapts to your priorities. Integration connects to your existing data sources with no disruption to running systems.
Never. We build your knowledge mind inside your organization, and it belongs to you alone. We never share your data, or anything the model learns from it, with any other party, and none of it leaves your environment in any form.
Yes, and in a sensitive environment this is essential. We built the platform to say "insufficient data is available" when it lacks grounding, rather than offer a confident answer without support.
One use case. One data source. One measurable indicator.