As a UK-based professional services firm with a strong global presence, the client specializes in delivering strategic advisory and technology-driven solutions across multiple industries. While the company had invested in IoT and data initiatives, it lacked the deep technical expertise required to design and scale a real-time, sensor-based monitoring system.

Seeking to build a platform capable of processing massive volumes of acoustic and temperature sensor data with low latency, the client required a technology partner skilled in IoT, Big Data engineering, and machine learning. SmartDev was engaged to fulfill this role—delivering a production-ready MVP in three months and establish a secure, scalable foundation for long-term safety and sustainability.

• Real-Time Monitoring & Analytics: Captured and processed continuous data streams from thousands of distributed sensors, enabling instant anomaly detection. This reduced downtime, improved safety, and supported uninterrupted production cycles.

• Distributed Big Data Architecture: Designed a hybrid architecture combining real-time streaming with batch processing. This ensured both low-latency anomaly alerts and deeper historical insights, providing scalability and resilience for mission-critical operations.

• Early Prevention & Predictive Capabilities: Integrated rule-based detection with machine learning models to move from reactive to preventive operations. The system could anticipate failures, mitigate risks, and protect human lives, assets, and the environment.

• Secure & Actionable Data Delivery: Built encrypted, regulation-compliant pipelines that delivered insights directly into Tableau and Power BI. This gave stakeholders clear visualization, retrospective analytics, and data-driven decision-making in real time.