Enterprise AI built to stay in production
End-to-end AI systems for production scale — strategy, build, and operate with AURA-powered delivery.
Enterprise AI Development: What we deliver
We engineer LLM applications, copilots, and intelligent workflows as operated systems — with evaluation, monitoring, security controls, and integration into ERP, CRM, and internal tools.
Enterprise AI Development covers the full lifecycle: use-case scoping, model selection, RAG and agent architecture, production deployment, and ongoing quality monitoring — so pilots become systems your operators can trust.
Why teams choose Aqeeq for enterprise ai development
Production programs across retail, supply chain, education, and security — selected logos from recent work.
How we apply Enterprise AI Development
01
Discover
Map workflows, stakeholders, data, integrations, and success metrics.
02
Design
Architecture, security model, delivery plan, and acceptance criteria.
03
Build
Production engineering with CI/CD, testing, and observability.
04
Launch
Rollout, training, documentation, and operational handoff.
05
Improve
Tune accuracy, cost, latency, and adoption after go-live.
Farm-to-market operations that survive peak harvest
Centralized logistics and supply-chain records for every team — React, Node, Express, PostgreSQL, and AURA for AI-assisted operations.
Read story
AI travel concierge at event scale
AI-assisted travel concierge for high-stakes, high-volume event travel with reliable operations.
Read storyBuild the future with enterprise ai development
Practical capabilities engineered for production — not slide-deck promises.
Production LLM applications
Custom GPT-class apps embedded in real workflows.
Agent orchestration
Multi-step agents with tool use, guardrails, and audit trails.
RAG & knowledge systems
Retrieval pipelines grounded in your documents and data.
Evaluation & monitoring
Regression testing, observability, and human review loops.
Move forward with enterprise ai development
Book a conversation — we will scope the engagement or tell you if another path is a better fit.