Wearable memory for the moments when your brain needs context faster than you can pretend you remember. Press a button, hear who you're looking at.
Face recognition as a medical accommodation has been a solved problem in research labs for years. The solutions that have reached actual users are almost all awkward: dedicated apps that require pulling out your phone mid-conversation, systems with significant cloud latency, or experimental hardware that announces itself visually.
For sales professionals and enterprise networkers, the problem is different but structurally similar. CRM systems capture data after the fact, require manual entry, and sit behind a phone screen you can't easily check while maintaining eye contact.
A system that whispers context into your ear as you approach someone is categorically different from one that requires you to pause the conversation to look something up.
~2.5% of the population. Constant exhausting social anxiety. A reliable, private, wearable system is a meaningful accommodation — not a novelty.
Hundreds of relationships across events, calls, and meetings. "I remember you mentioned your daughter was starting university" is worth more than a business card.
A system that introduces a visitor by name and relationship context before the patient has to ask. Measurable patient outcome value.
Badge-free recognition at private summits. Premium networking infrastructure that nobody else has.
| Capability | Status | Detail |
|---|---|---|
| Face recognition | ✓ Live | ArcFace 512-d, 99.7% LFW, 8ms CPU |
| Multi-face tracking | ✓ Live | Up to 10 simultaneous faces, 30fps |
| Conversation capture | ✓ Live | Whisper + pyannote, local |
| Memory database | ✓ Live | SQLite WAL, unlimited persons |
| Button recall | ✓ Live | AVRCP → Claude → TTS → speaker |
| Cloud sync | → AWS | DynamoDB + Lambda |
| Multi-device | → AWS | Requires cloud memory layer |
| Wireless glasses | Roadmap | Phone bridge in progress |
DynamoDB — Multi-device memory sync. Recall works when the laptop is off. Sub-100ms lookup. Encrypted per-user partitions.
Transcribe Streaming — 200ms ASR latency, built-in speaker diarization. Replaces local Whisper for real-time capture.
Bedrock (Claude) — Cloud AI inference, no local model required. IAM auth, audit logs, no API key exposure.
Lambda — Recall API when the laptop is off. Callable from a phone app. Scales to B2B deployment.