We turn models into
systems that ship.
Neural Quasar designs, builds and operates production AI — applied LLM platforms, retrieval infrastructure, autonomous agents and vision systems. Not demos. Systems your business can depend on.
نحوّل نماذج الذكاء الاصطناعي إلى أنظمة إنتاجية موثوقة — من التصميم إلى التشغيل.
Six things we do
exceptionally well.
Every engagement is scoped to a measurable business outcome — then engineered, deployed and monitored like real infrastructure.
Applied LLM Systems
Assistants, copilots and document intelligence wired into your actual data and workflows — with guardrails, evaluation and cost control built in.
أنظمة مساعدة ذكية مدمجة ببياناتكم
Retrieval & Knowledge Infrastructure
RAG done properly: ingestion pipelines, chunking strategy, hybrid search, re-ranking and freshness — so answers cite the truth, not a hallucination.
بنية استرجاع معرفي دقيقة وموثوقة
Agentic Automation
Agents that take real action across your stack — tickets, ERP, email triage, reporting — with human-in-the-loop checkpoints and a full audit trail.
وكلاء آليون ينفذون المهام عبر أنظمتكم
Computer Vision
Inspection, counting, safety and site monitoring on live camera feeds — edge-deployed where latency, bandwidth or data residency demands it.
أنظمة رؤية حاسوبية للمراقبة والفحص
Data & MLOps
The unglamorous layer that decides whether AI survives contact with production: pipelines, versioning, evaluation harnesses, observability and rollback.
بنية بيانات وتشغيل نماذج متكاملة
AI Strategy & Enablement
Where AI actually pays back in your organisation — opportunity mapping, build-vs-buy, governance, and training so your team owns it after we leave.
استشارات وتمكين فرق العمل
From idea to production
in four moves.
No six-month discovery theatre. We prove value fast, then harden what works.
Frame
We find the highest-leverage use case, define the success metric, and agree what "good" looks like before a line of code exists.
Prototype
A working system on your real data inside weeks — so the decision to scale is made on evidence, not a slide deck.
Harden
Evaluation suites, guardrails, access control, cost ceilings, monitoring and fallbacks. This is where most AI projects quietly die. Not ours.
Operate
We run it, watch it, and improve it — or hand over a documented system your team can confidently own.
Engineers who have
run this in production.
Plenty of teams can call an API. Far fewer can keep an AI system accurate, affordable and auditable twelve months later — under real load, real data drift and real users.
- Model-agnostic by design. We select per workload and keep you portable — no single-vendor lock-in.
- Data residency respected. Cloud, private VPC or fully on-premise — including air-gapped deployments.
- Cost engineered, not hoped for. Caching, routing and token budgets so unit economics work at scale.
- Measured, always. Every deployment ships with an evaluation harness and a dashboard you can challenge us on.
Built for operators.
We work best where the data is messy, the stakes are real, and "roughly right" isn't good enough.
Tell us the problem.
We'll tell you if AI is the answer.
Straight assessment, no pitch deck. If a rules engine solves it better and cheaper, we'll say so.