Mereos provides AI-powered remote proctoring solutions for educational institutions and certification bodies worldwide. Their platform uses computer vision and machine learning to monitor exam sessions in real time, flagging potential integrity violations while maintaining a seamless experience for test-takers.
The technical challenge is significant: real-time video processing, AI inference at scale, and concurrent sessions, all with the security and reliability that assessment integrity demands.
Building a remote proctoring platform isn't just a video streaming problem. Mereos needed infrastructure that could handle real-time AI inference on video feeds, scale to thousands of concurrent exam sessions, store and process large volumes of video data securely, and maintain strict data privacy controls across multiple jurisdictions.
Off-the-shelf solutions couldn't deliver the performance or cost profile they needed. Mereos required a purpose-built cloud architecture designed for AI-heavy workloads.
Cloudacio designed and implemented a cloud-native architecture optimized for AI workloads. We leveraged serverless compute for elastic scaling during exam periods, built efficient data pipelines for video processing, and implemented AI inference endpoints that balance performance with cost.
The architecture handles traffic spikes gracefully (exam periods can create 10x traffic surges) while scaling down to near-zero during quiet periods. Security controls ensure compliance with educational data protection requirements across the markets Mereos serves.
"Working with Cloudacio was transformational for our remote proctoring business. They helped us design and implement a scalable and secure architecture leveraging cutting-edge AI technology to ensure the integrity of our assessments. Thanks to Cloudacio, we were able to offer our clients a reliable and cost-effective solution that exceeded our expectations."Dorone Parienti, Co-Founder at Mereos