We don't just propose solutions — we build them. Here's a selection of the AI, Robotics, and IoT systems we've deployed for clients across the UAE and GCC.
A large manufacturing client was losing significant production time to unplanned equipment failures. We built an ML pipeline that ingests real-time sensor data from production equipment, detects early anomaly signatures, and triggers alerts before failure occurs — giving maintenance teams time to act.
The client had data from 200+ sensors but no way to extract predictive value from it. We designed the data pipeline, trained anomaly detection models on historical failure data, and deployed a live alerting dashboard that maintenance teams use daily.
A government infrastructure client needed real-time visibility across distributed sites — environmental sensors, energy meters, and operational equipment all reporting into a single platform. We built the full stack: sensor connectivity, edge processing, cloud storage, and a live operational dashboard.
Operations teams were relying on manual site visits for data collection. We replaced that process entirely — connecting 5,000+ sensors across 12 sites to a central dashboard with automated alerts, reducing field visits by 70% and enabling data-driven resource allocation.
A logistics company needed an AI assistant for internal operations — but data privacy and regulatory requirements ruled out any cloud-based LLM. We deployed a fully on-premise LLM stack for document analysis, policy Q&A, and automated report generation — with zero data leaving their network.
The operations team was spending 3–4 hours daily manually searching policy documents and drafting reports. Our private LLM now handles document Q&A, contract review summaries, and daily report drafts — running entirely on their own servers with no external API calls.
Tell us about your project and we'll outline a path to measurable outcomes within 24 hours.