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.
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.
Addressing key client pain points — each agent targets a high-volume, high-cost workflow and starts paying back from day one.
Auto-triage, prioritize and draft replies — cutting email overload.
Extract data from invoices, contracts and forms with high accuracy.
24/7 query resolution with knowledge retrieval and smart escalation.
Qualify leads, update CRM and surface next-best actions.
Compare vendors, track deliveries and flag procurement risk.
HR queries, policy lookup, onboarding and document generation.
Monitor policies, review documents and ensure compliance.
Reconcile invoices, flag anomalies and accelerate the month-end close.
Resolve tickets, reset access and triage incidents automatically.
Query data in plain language and generate reports and dashboards on demand.
Coordinate calendars, capture minutes and assign follow-up actions.
Draft campaigns, personalize outreach and repurpose content at scale.
From autonomous agents to RAG assistants and LLMOps — modular capabilities that compose into a complete, production-grade generative AI stack.
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.
A personalized, multi-modal virtual assistant for support and engagement — customizable, trainable in one click, and deployable across text and voice channels.
RAG-powered retrieval that returns results by meaning and context, not keywords — layered over Elasticsearch, Azure, or GCP search without re-uploading your data.
Personal AI agents and collaborative intelligence that centralize, extract, and preserve enterprise knowledge — so expertise outlasts any single team member.
MLOps, AutoML, and LLM operations — fine-tuning, evaluation, prompt management, and production serving with full observability and cost control.
AI advisory and strategy development — use-case discovery, feasibility, ROI modeling, and a phased roadmap that turns ambition into shipped systems.
Sovereign-grade AI that stays entirely within your walls — air-gapped or KSA-only, audit-ready by design, with no external calls. Built for banks, ministries, healthcare, and critical infrastructure.
Named solutions we design, build, and operate — each grounded in your data, governed, and ready for the KSA enterprise.
Autonomous agents that plan and execute multi-step work across your enterprise tools and systems.
Always-on support agents that resolve tickets, answer questions, and escalate with full context.
Extract, classify, and route data from contracts, invoices, and forms — at scale, with accuracy.
Native Arabic assistants that understand dialect and context — built for the KSA market.
RAG-grounded knowledge bases with a conversational chatbot that answers from your own content.
Natural voice agents that handle calls, bookings, and inquiries across phone and channels.
Agentic automation that replaces brittle scripts — adapting as your processes change.
In-app copilots that assist your teams inside the tools they already use every day.
Unified sentiment and intent analysis across social media, calls, and emails — insight from every touchpoint.
Unlike a one-shot prompt, an agent decomposes a goal, picks the right tools, executes, and checks its own work — repeating until the task is done. Every step is observable and governed.
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.
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.
Whether you need a rapid use-case discovery, a single production agent, or a full GenAI platform with LLMOps — we adapt to your context.
A rapid use-case discovery, feasibility review, and prioritized AI roadmap.
3–4 weeksDesign, build, and ship a production agent for one high-value workflow.
6–10 weeksEnd-to-end platform — RAG, agents, and LLMOps — wired into your systems.
12–24 weeksSenior AI and ML engineers placed directly in your team — on-demand capacity.
OngoingFrom a single agent pilot to a full GenAI platform — nehlum builds, grounds, and governs your generative AI. No hype. Just engineers.
Capabilities, product ecosystem, certifications, and global delivery — distilled into a single, share-ready PDF.