ContextSDK

Founded 2023

Detect real-world physical device context to time mobile app prompts and notifications

Pricing model

Demo

You can use ContextSDK to understand what your mobile app users are doing in the physical world without tracking their identity. The software runs machine learning models directly on devices using sensors like gyroscopes and accelerometers. This lets you trigger in-app prompts, paywalls, and push notifications when people are most likely to respond. Because all data processing happens locally, you can improve conversion rates, lower notification opt-outs, and enrich ad targeting without collecting personally identifiable information or requesting extra phone permissions.

What ContextSDK does

Integrate the on-device sensor SDK into an iOS applicationConfigure triggers for in-app paywalls based on physical user contextSchedule push notifications according to user attentivenessMonitor real-world context data without collecting personal identifiersTrack user movement states to adjust mobile app workflowsEnrich advertising segments using local device signalsRuns all sensor processing and machine learning directly on the deviceAnalyzes over 300 real-world device signals including motion and activityZero collection of personally identifiable informationTriggers push notifications when users are most likely to engageTimes in-app paywalls and purchase prompts based on user movementLightweight library requiring only 0.6 megabytes of memoryPerforms context detection in under two seconds