Personalize Feeds Without Invading Privacy
PULSE infers user interests from behavioral signals in real-time, no tracking pixels, no cookie walls, no PII collection. Deliver relevant feeds, content discovery, and ad matching that users trust.
Problems We Solve
Users leaving due to irrelevant feed content
Cold start for new users with empty interaction history
Privacy regulations limiting traditional personalization
Declining ad relevance as cookies phase out
See It In Action
Feed Curation
The Late-Night Tech Scroller
A friend at a party notices you're in tech, talking about AI and startups. They don't recommend reality TV; they say 'Have you seen this deep-dive on transformer architectures?' They read the room.
Signals Detected
Deep-Dive Tech Reader
Result
Feed prioritizes long-form tech content and analysis over viral clips and memes.
How PULSE Works for Social Networking
Observe
Capture non-invasive behavioral signals from your platform, device, referrer, time, geo, and engagement patterns.
Infer
Build a real-time persona using Bayesian inference. Understand intent, preferences, and context in milliseconds.
Deliver
Match the inferred persona to your content via vector space. Serve personalized responses via API in <50ms.
Integration
Feed Ranking API and Content Discovery SDK. RESTful endpoints for real-time feed re-ranking and content scoring.
Ready to Personalize Your Social Networking Experience?
Get a free audit tailored to your industry. We'll show you exactly what PULSE can do with your data.