- Riyadh, Saudi Arabia
- sales@oaisysit.com
- +966 555703785
AI-powered solutions designed to automate processes, optimize performance, and scale intelligent operations.
Modern fleet operators require more than just location tracking; they need deep visibility into driver safety and risk. Traditional telematics often provide raw data without the intelligent analysis required to predict and prevent incidents, leading to preventable accidents and rising insurance premiums.
Our AI-Powered Safety Monitoring Platform bridges this gap by analyzing telematics data, video feeds, and driver patterns in real-time. By leveraging machine learning to identify risky behaviors, the system provides the proactive alerts and data-driven insights necessary to maintain a safer, more cost-effective fleet.
Many business automation teams struggle with fragmented tools for integrations, approvals, and data synchronization. When workflows are built manually across siloed applications, it leads to duplicate work, missed triggers, and a lack of centralized visibility.
Our AI Automation Platform provides a unified environment to design, execute, and monitor complex workflows. Much like a specialized n8n or Zapier, it features built-in AI steps and event-driven triggers. The platform offers real-time execution logs, reliable scheduling, and a scalable multi-tenant architecture, allowing businesses to automate operations within a single, cohesive ecosystem.
Managing chronic health conditions requires meticulous medication adherence, consistent vitals monitoring, and organized access to medical history. Patients and caregivers often struggle with manual logs and fragmented apps, leading to missed doses and incomplete data that hinders effective care.
Our Digital Health Companion is a comprehensive tracking and management platform designed to unify the healthcare experience for patients, families, and caregivers. By centralizing vitals tracking, medication scheduling, and medical record storage, the platform ensures better compliance and provides the clear health visibility necessary for improved long-term outcomes.
Textile manufacturers often struggle with fragmented tracking across raw materials, production stages, and finished goods. Manual planning, disconnected purchase orders, and limited visibility into shortfalls lead to delays, excess inventory, and missed delivery commitments.
A centralized Textile Management System addresses these challenges by managing the complete textile lifecycle—from raw material procurement to finished goods delivery. The system enables collection planning, shortfall analysis, PO tracking, and production monitoring, giving management real-time visibility and control across operations.
The client managed a high-volume biomass supply chain using paper slips, spreadsheets, and manual reconciliations. Field teams had no reliable offline tool, and head office had limited visibility into cash movements, dispatches, and penalty calculations. Daily reconciliation took hours and was error-prone.
A Flutter-based mobile app with a Node.js API backend and reporting console was designed and delivered. The system supports offline capture of dispatch data, wallet transactions, and penalties, automatically syncing to the cloud when connectivity is available. Role-based access ensures appropriate permissions for field staff, supervisors, and finance teams.
A logistics company needed real-time visibility into their fleet operations, driver locations, and route efficiency. They lacked tools to monitor driver behavior, optimize routes, and ensure compliance with delivery schedules.
We built a comprehensive fleet management platform with mobile apps for drivers, a web dashboard for operations, and real-time tracking infrastructure. The system integrates GPS data, calculates optimal routes, and provides actionable insights for fleet managers.
Traditional AI calling systems rely on static scripts and limited context, resulting in generic responses and poor user experience. In appointment scheduling and property booking, accurate responses require access to live availability, policies, pricing rules, and historical interactions.
We developed a RAG-based AI Calling Bot, purpose-built for clinic appointments and property bookings. The platform uses a vector database to retrieve contextual knowledge in real time, enabling natural, accurate conversations while continuously improving through interaction analysis and training data.
