Production AI systems, engineered end to end.
From data pipeline to user interface, we design, build, integrate, and operate AI systems inside your environment. The same engineering discipline that built Phronexa: retrieval, evaluation, identity, audit, and the unglamorous hardening that keeps a system up at 3 a.m.
- End-to-end delivery
- Works with existing systems
- On-premises or cloud
- Operated, not abandoned
Systems that fit into what you already run.
No rip-and-replace. We wire AI into the databases, applications, and identity you have today.
Built around your systems, not beside them
A single governed endpoint can put AI behind an application you already run, so your systems trigger the intelligence without new infrastructure on their side. Connectors cover databases, file stores, CRM, collaboration suites, websites, and MCP servers.
Retrieval and knowledge engineering
Pipelines that turn contracts, regulations, spreadsheets, and databases into structured, versioned knowledge: entities, relationships, effective dates, and review workflows, so answers cite their source instead of guessing.
The full delivery stack, in your perimeter
Document OCR, PII masking, speech recognition and synthesis, and retrieval services, deployed as governed components inside your environment. Data does not leave to be processed.
Hardened for operations
Idempotent writes so retries never double-execute. Circuit breakers and failover on external calls. Tamper-evident audit on every action. Backup and restore that has actually been drilled, not just documented.
Evaluation as a habit, not a phase
Every release is measured against your evaluation sets for answers, routing, and agent behavior. A regression blocks the release. This is how we keep quality from silently rotting after go-live.
Working software every few weeks, not a big reveal.
Scope
We agree on the first thin slice that touches real data and real users, and define the evaluation that will judge it.
Build in increments
Short cycles, each ending in software you can use and measure. You see progress in the product, not in status decks.
Integrate and harden
Identity, audit, failure paths, load, backup, and security review, treated as first-class work, not an afterthought before launch.
Operate
We run it with your team, or hand it over with runbooks and training. Either way, someone competent is on the hook, by name.
The engineering shows.
A system you own, not a dependency you rent.
- A production system deployed in your environment
- Source, documentation, and runbooks that survive staff turnover
- Integration through governed endpoints and connectors
- Evaluation suites and dashboards wired into releases
- An operations team that has been trained on the real thing
Sovereign, Arabic-first AI, ready to prove its value on-premises, in weeks.
Start with one high-value use case and measure it on real data.