Friend

https://friend.com

Pendant necklace (~2 inches). Always-on listening feeds a persistent AI companion persona. Companionship-framed rather than productivity / recall. Cloud LLM backend; no detailed encryption claims.

At a glance

Type
Always-on AI companion pendant
Tier
T1
Created
2024 (founded 2024; $2.5M seed Jul 2024; began shipping summer 2025)
Latest release
not applicable — not OSS
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
Hardware-bundled
Funding
$10M total (self-raised $2.5M seed + additional $7.5M; backers: Caffeinated Capital, Z Fellows, Perplexity CEO Arav…

Taxonomy

storage
vector
retrieval
similarity
persistence
lifelong
update
append-only
unit
episode
governance
opaque
conflict
append

When to use

Optimised for: always-on capture + lifelog timeline + voice UX

Anti-fit: not for enterprise compliance-regulated environments without explicit consent flows

Pros & cons

Pros

Companionship framing rather than productivity — addresses a different need than the rest of the wearable category.

Cons

Consumer reaction has been mixed; cloud LLM backend with limited privacy disclosure.

Claims & capabilities

$99 launch / now $129. Began shipping summer 2025 (delayed from Q1). Drew significant backlash from a $11k NYC billboard campaign late 2025.

Technical surface

API surface
not applicable — consumer device
Backend storage
custom
Deployment
Managed-only
Embedding model
locked
Multi-tenancy
hard-isolation (per device)
MCP
searched not found
A2A
searched not found
OpenTelemetry
searched not found

Compare Friend with…

Similar systems

Other voice-first / wearable ai memory in the catalog, ranked by inbound references.

  • Bee T1

    Small wearable (pendant / clip / bracelet). Continuous capture; converts speech to text immediately; never stores raw audio . Daily summaries, personal fact sheet, to-do suggestions. Cloud processing on derived text only.

  • Era Computer T5

    Software platform / OS layer for AI wearables (glasses, rings, pendants, speakers) that abstracts hardware from AI orchestration. Memory and model providers are pluggable and user-controlled rather than cloud-locked; supports 130+ LLMs from 14+ providers. Founded 2025 by ex-Humane team.

  • Granola T1

    Mac/iOS app (no hardware). Captures meeting audio via system-audio tap (no bot joining); generates notes from your shorthand + audio. Local audio processing claim; cloud for summaries. Enterprise tier opts out of model training.

  • Limitless T1

    Continuously captures screen + audio + wearable input; AI search across the timeline. Privacy-first (local-first storage). Originated as Rewind macOS app; pivoted to wearable + lifelog product.

  • Memories.ai LVMM 2.0 / Project LUCI T2

    Developer-first reference platform for AI wearables. LVMM 2.0 captures visual data through video, encodes it into frames on-device, and stores moments as searchable memories; companion app surfaces past conversations/decisions/experiences. Hardware-level security via Qualcomm partnership; cloud sync for enterprise tiers.

  • Omi T1

    Wearable orb (necklace or clip) with open-source hardware + firmware. Continuous audio capture; real-time GPT-4o transcription; searchable memory graph. Supports app screen capture too. Hybrid privacy: cloud by default (SOC 2/HIPAA/AES-256), full local/self-hosted available under MIT.

Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.