Otter.ai
Joins Zoom / Meet / Teams as a meeting bot. Real-time transcription, speaker identification, searchable archive across past meetings. SSO + admin controls at Business tier.
At a glance
- Type
- Meeting bot + browser extension + app
- Tier
- T1
- Section
- Voice-first / wearable AI memory
- Created
- 2016-09
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Free + paid
- Funding
- $73M total Series B · 2021-02
Taxonomy
- storage
- file
- retrieval
- similarity
- persistence
- long-term
- update
- append-only
- unit
- episode
- governance
- inspectable
- 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
Most established meeting-bot brand with wide Zoom/Meet/Teams coverage and decent enterprise admin controls.
Cons
Memory is meeting-archive style — searchable transcripts but no semantic threading across meetings; limited multilingual coverage.
Claims & capabilities
Free 300 min/mo, Pro $10/user/mo (annual), Business $20/user/mo. Real-time transcription in English, French, Spanish.
Technical surface
- API surface
- REST (Otter API for speeches/transcripts) — partner access
- Backend storage
- custom
- Deployment
- Managed-only
- Embedding model
- locked
- Multi-tenancy
- hard-isolation
- MCP
- searched not found
- A2A
- not supported
- OpenTelemetry
- no — consumer product
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.
- Friend T1
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.
- 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.