AI agents and RAG that operators can trust
Autonomous and semi-autonomous agents with retrieval, tool use, guardrails, and production monitoring.
AI Agents & RAG systems: What we deliver
We design agent workflows and retrieval systems that balance autonomy with control — grounded answers, tool permissions, human escalation, and measurable quality over time.
Why teams choose Aqeeq for ai agents & rag systems
Production programs across retail, supply chain, education, and security — selected logos from recent work.
Self-serve analytics without opening the BI queue
Governed natural-language access to business data so leaders get answers without waiting on analysts or raw SQL.
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Threat signal SOC teams can act on
ML-driven detection and compliance workflows that surface ranked incidents — signal over noise for security operations.
Read storyBuild the future with ai agents & rag systems
Practical capabilities engineered for production — not slide-deck promises.
Agent workflow design
Multi-step tasks with clear success and failure modes.
RAG pipeline engineering
Chunking, embedding, retrieval, and re-ranking at scale.
Tool & MCP integration
Connect agents to internal APIs and operational systems.
Quality evaluation
Test suites, regression checks, and production monitoring.
AI Agents & RAG systems: Questions we get most often
Most engagements run from a few weeks for focused discovery or prototyping to multi-quarter delivery for enterprise programs. We scope timelines upfront against clear acceptance criteria.
Yes. We integrate with your product, engineering, and operations teams — providing architecture leadership, delivery capacity, or end-to-end ownership as needed.
Production-ready systems with documentation, monitoring, and handoff materials — plus decision-ready artifacts when the engagement is strategy or discovery focused.
Move forward with ai agents & rag systems
Book a conversation — we will scope the engagement or tell you if another path is a better fit.