AI Overlay for SUMADI Proctoring on Mac
SUMADI is the AI proctoring platform founded by Raul Rivera in 2019 and now part of the Open LMS / Laureate Education ecosystem. It dominates online proctoring across Latin America and the Spanish-speaking education market, with deployments at large online universities and FUNIBER-affiliated programs.
SUMADI runs as a cloud-hosted AI service on AWS (it landed on AWS Marketplace as a public listing) with two client surfaces on Mac: a browser-integrated proctoring layer that institutions embed in their LMS (Moodle, Canvas, Open LMS, Blackboard) and the SUMADI Secure Browser desktop app that pairs with the SUMADI mobile app for synchronous monitoring. The AI stack focuses on facial recognition, typing-pattern biometrics, object detection in the webcam frame, and browser-activity tracking. Of those four signals, only browser-activity tracking even looks at the screen; the rest read webcam and keystroke timing. The browser-activity capture is implemented through standard Chrome / Chromium screen-capture APIs, which on Mac are wired to ScreenCaptureKit and which respect window-level exclusion.
SUMADI AI looks at the recorded video and the keystroke pattern. An overlay that does not reach the recording cannot be analyzed by the AI.
Typing biometrics watch your real keystrokes on the exam input. Fracture does not synthesize input; you still type your own answers, so your typing pattern stays consistent.
Yes. The mobile app uses your phone camera as a second view of the room. Close the overlay during the room scan.
Yes. The reviewer watches the recording SUMADI captured. That recording was filtered through macOS compositor at capture time.
SUMADI is deployed by online and hybrid universities across LATAM and Spain, plus institutions inside the Open LMS / Laureate ecosystem.
Need reference access during your exam?
Fracture runs a native floating overlay that sets the macOS window privacy flag. It is 100% excluded from screen capture feeds, window lists, and proctor recordings.