Generative AI and AI Agent Development in Saudi Arabia
Generative AI engineered for the enterprise — autonomous agents, RAG-grounded assistants, semantic search, and knowledge systems that automate multi-step work across your tools, safely and at scale.
Teams are buried in repetitive work and knowledge they can't reach.
Chatbots that hallucinate, keyword search that misses intent, and hard-coded automations that break the moment a process changes. We build agentic systems that reason over your data and act across your tools — grounded, governed, and accountable.
The agents enterprises deploy first.
Addressing key client pain points — each agent targets a high-volume, high-cost workflow and starts paying back from day one.
Intelligent Email & Inbox Agent
Auto-triage, prioritize and draft replies — cutting email overload.
Document Processing Agent
Extract data from invoices, contracts and forms with high accuracy.
Customer Support Agent
24/7 query resolution with knowledge retrieval and smart escalation.
Sales & CRM Assistant Agent
Qualify leads, update CRM and surface next-best actions.
Procurement & Vendor Agent
Compare vendors, track deliveries and flag procurement risk.
HR & People Support Agent
HR queries, policy lookup, onboarding and document generation.
Compliance & Risk Agent
Monitor policies, review documents and ensure compliance.
Finance & Accounts Payable Agent
Reconcile invoices, flag anomalies and accelerate the month-end close.
IT Helpdesk & Ops Agent
Resolve tickets, reset access and triage incidents automatically.
Data & Analytics Agent
Query data in plain language and generate reports and dashboards on demand.
Scheduling & Meeting Agent
Coordinate calendars, capture minutes and assign follow-up actions.
Marketing Content Agent
Draft campaigns, personalize outreach and repurpose content at scale.
Six GenAI offerings. One agentic platform.
From autonomous agents to RAG assistants and LLMOps — modular capabilities that compose into a complete, production-grade generative AI stack.
AI Agents & Automation
Autonomous agents that reason, plan, and act across your tools to complete multi-step work — with tool use, memory, and human-in-the-loop control where it matters.
Customer Support Assistant
A personalized, multi-modal virtual assistant for support and engagement — customizable, trainable in one click, and deployable across text and voice channels.
Enterprise Semantic Search
RAG-powered retrieval that returns results by meaning and context, not keywords — layered over Elasticsearch, Azure, or GCP search without re-uploading your data.
Knowledge Management
Personal AI agents and collaborative intelligence that centralize, extract, and preserve enterprise knowledge — so expertise outlasts any single team member.
LLMOps & MLOps
MLOps, AutoML, and LLM operations — fine-tuning, evaluation, prompt management, and production serving with full observability and cost control.
Generative AI Strategy
AI advisory and strategy development — use-case discovery, feasibility, ROI modeling, and a phased roadmap that turns ambition into shipped systems.
Production-grade GenAI, applied to real work.
Named solutions we design, build, and operate — each grounded in your data, governed, and ready for the KSA enterprise.
Enterprise AI Agents
Autonomous agents that plan and execute multi-step work across your enterprise tools and systems.
AI Customer Support Systems
Always-on support agents that resolve tickets, answer questions, and escalate with full context.
AI-Powered Document Processing
Extract, classify, and route data from contracts, invoices, and forms — at scale, with accuracy.
Arabic AI Assistants
Native Arabic assistants that understand dialect and context — built for the KSA market.
Knowledge Base Systems with AI Chatbot
RAG-grounded knowledge bases with a conversational chatbot that answers from your own content.
Voice AI Agents
Natural voice agents that handle calls, bookings, and inquiries across phone and channels.
AI Workflow Automation
Agentic automation that replaces brittle scripts — adapting as your processes change.
AI Copilots
In-app copilots that assist your teams inside the tools they already use every day.
Customer Communication Analysis
Unified sentiment and intent analysis across social media, calls, and emails — insight from every touchpoint.
Specialist agents, working as a team.
Complex work rarely fits one model. An orchestrator decomposes the goal and routes each sub-task to a specialist agent — research, retrieval, action, verification — each with its own tools and guardrails.
Model-agnostic. Best-of-breed stack.
We pick the right model and framework for your use case — open or proprietary — and run it on your cloud, with full evaluation and observability.
Start with one agent. Scale to a platform.
Whether you need a rapid use-case discovery, a single production agent, or a full GenAI platform with LLMOps — we adapt to your context.
GenAI Discovery
A rapid use-case discovery, feasibility review, and prioritized AI roadmap.
3–4 weeksAgent Pilot
Design, build, and ship a production agent for one high-value workflow.
6–10 weeksGenAI Platform Build
End-to-end platform — RAG, agents, and LLMOps — wired into your systems.
12–24 weeksEmbedded AI Team
Senior AI and ML engineers placed directly in your team — on-demand capacity.
OngoingReady to put AI agents to work?
From a single agent pilot to a full GenAI platform — Nehlum builds, grounds, and governs your generative AI. No hype. Just engineers.
Frequently asked questions
What generative AI and AI agent services does Nehlum offer in Saudi Arabia?
Nehlum offers six generative AI capabilities: AI agents and automation, a customer support assistant, enterprise semantic search, knowledge management, LLMOps and MLOps, and generative AI strategy. From these we build solutions such as enterprise AI agents, AI-powered document processing, voice AI agents, AI copilots and native Arabic assistants that understand dialect and context, built for the KSA market.
How do AI agents work, and how are they different from a chatbot?
An AI agent works as a loop: perceive, reason, plan, act and observe. Unlike a one-shot prompt, it decomposes a goal, picks the right tools, calls your APIs and data, checks its own work, and repeats until the task is done. For complex work, an orchestrator routes sub-tasks to specialist research, action and verifier agents, each with its own tools and guardrails.
Which LLMs and frameworks does Nehlum work with?
Nehlum is model-agnostic and picks the right model and framework for each use case, open or proprietary. Foundation models include OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama and Mistral. Agent frameworks include LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI and Semantic Kernel, with Pinecone, Weaviate, pgvector, Elasticsearch or FAISS for retrieval, and Amazon Bedrock, Azure OpenAI or GCP Vertex AI as cloud platforms.
How does Nehlum keep generative AI accurate and safe?
Answers are grounded in your own data through retrieval-augmented generation (RAG), with citations. Agents run with guardrails: policy checks, PII redaction and approval gates on every action, plus a human-in-the-loop checkpoint where it matters. Every reasoning step and tool call is logged and auditable, and LLMOps adds evaluation, guardrails and observability in production.
How does a generative AI project with Nehlum start?
The approach is to start with one agent and scale to a platform. A GenAI Discovery takes 3 to 4 weeks and delivers a feasibility review and a prioritized AI roadmap. An Agent Pilot ships a production agent for one high-value workflow in 6 to 10 weeks. A GenAI Platform Build covering RAG, agents and LLMOps runs 12 to 24 weeks, and an embedded AI team is available on an ongoing basis.