SnapFind Cognitive Matching Engine
The autonomous event photography retrieval pipeline. Enterprise multi-tenant isolation, real-time pgvector face matching, and zero-context guest delivery.
Vector-Powered Event Retrieval
Our cognitive database architecture matches human faces across millions of physical photos in milliseconds, delivering private personal galleries securely.
AI Indexing Studio
Real-time face detection and 512-dimension vector embedding generation.
pgvector Search
Sub-second database-level vector similarity matching.
Biometric Consent
Frictionless guest registration with verified legal compliance.
Instant Syndication
Automated personalized gallery delivery via Resend email pipelines.
B2B Multi-Tenant Isolation
All event data, consents, face embeddings, and objects are logically partitioned at the database layer. Dynamic subdomain resolvers isolate guest portals, while Stripe limit guards restrict event creation and photo ingestion programmatically.
- ✓ Dynamic Subdomain Resolution Routing
- ✓ Relational Database Tenant Partitioning
- ✓ Hard Stripe Paywall Constraints (returns HTTP 402)
▶ INGESTING PHOTO: SF_PHOTO_491
🔎 GENERATING VECTOR EMBEDDING...
✅ 512-D EMBEDDING INDEXED
▶ RUNNING COGNITIVE MATCH...
✅ MATCH FOUND: guest_id = gs_88192
▶ DISPATCHING PERSONAL GALLERY EMAIL...
🎉 NOTIFICATION SENT TO: guest@user.com
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