AI-Native Engineering
Initializing AI stack…
From GPT-4 and Claude to custom fine-tuned models — we architect, integrate, and maintain LLM-powered systems that deliver measurable ROI for GCC and global enterprises.
Every engagement comes with these capabilities tailored to your requirements.
Production-grade integrations with OpenAI, Anthropic Claude, Google Gemini, and open-source models — complete with multi-provider failover, semantic caching, streaming responses, and full observability so your AI features stay online and cost-efficient at scale.
Domain-specific fine-tuning on GPT-4o, Mistral, Llama 3, and Gemma using your proprietary data — delivering 30–60% accuracy gains over generic LLMs on niche tasks at 70% lower inference cost.
Enterprise-grade Arabic and English chatbots powered by LLMs — with intent recognition, persistent multi-turn memory, seamless human escalation, and CRM integration across web, WhatsApp, and Slack.
Semantic search and RAG pipelines built on Pinecone, Weaviate, and pgvector — replacing keyword search with natural-language understanding that retrieves the right answer from millions of documents in under 200ms.
Machine learning models that forecast demand, detect anomalies, score leads, and surface risk signals from your operational data — deployed as real-time APIs integrated directly into your existing dashboards and workflows.
Production-grade REST and GraphQL APIs that expose your AI models, RAG pipelines, and ML predictions to internal teams and third-party integrators — with authentication, rate limiting, versioning, and full observability.
Deep domain expertise across regulated and high-growth sectors in the GCC and globally.
Banking & FinTech
Healthcare & MedTech
Government & Public Sector
Legal & Compliance
E-Commerce & Retail
Oil & Gas
Education & EdTech
Logistics & Supply ChainA proven engagement process with complete visibility at every stage.
We audit your data pipelines, existing infrastructure, and regulatory constraints to produce a scored AI readiness report and ROI projection.
Workshop with stakeholders to rank AI opportunities by value, feasibility, and compliance risk — producing a signed-off implementation roadmap.
Cleansing, chunking, embedding, and indexing your proprietary data into production vector stores with access controls and audit logging.
Systematic evaluation of model options (cost, accuracy, latency) followed by prompt engineering, few-shot examples, and instruction fine-tuning.
Building secure API endpoints, authentication, rate limiting, and frontend integrations — tested against edge cases and adversarial prompts.
LLM observability via Langfuse or custom dashboards, A/B testing prompts, and monthly model refreshes to maintain accuracy over time.
Answers to the questions our clients ask most before engaging.
Real outcomes from real engagements.
IoT sensor data pipeline and ML-powered predictive maintenance system predicting equipment failures 48 hours in advance — reducing unplanned downtime by 35% for an energy infrastructure operator.
AI-powered citizen knowledge base with Arabic-English RAG pipeline serving 2M+ monthly queries for a GCC government ministry — deflecting 78% of call centre volume while maintaining 99.2% response accuracy.
Real-time shipment intelligence platform processing 500K daily tracking events with ML-powered exception prediction — cutting delivery exceptions by 40% for a regional logistics operator.
Deep-dive articles from our engineers on this service area.
Most enterprise LLM deployments fail not because of the model — but because of the infrastructure around it. We break down what a production-grade AI stack looks like in the Gulf, covering RAG architecture, data residency, and cost optimisation.
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Saudi Arabia's NCA ECC framework has specific implications for AI and ML systems that many organisations are not prepared for. This technical checklist covers the 14 critical controls your AI architecture must satisfy.
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For GCC enterprises where data sovereignty is non-negotiable, cloud-only automation tools like Zapier create compliance risk. We make the technical case for self-hosted n8n — and show the workflows where it genuinely outperforms.
Read MoreGet a free technical consultation scoped to your specific requirements. Our team responds within 24 hours.