Read.ai
Meeting bot + browser extension. Captures audio + video; engagement scoring (talk-time, sentiment, attention); enterprise search across all past meetings. "Ada" digital-twin feature builds an AI memory of work patterns.
At a glance
- Type
- Meeting bot + analytics + Ada digital twin
- Tier
- T1
- Section
- Voice-first / wearable AI memory
- Created
- 2021
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Free + paid
- Funding
- $81M total (Madrona + Goodwater Capital; Series B $50M); valuation $450M
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
Engagement analytics layer (talk-time, sentiment) is unique vs other meeting bots; Ada digital-twin builds long-running work-pattern memory.
Cons
Engagement scoring raises analytics-on-coworkers concerns; Ada digital-twin is opaque about what it stores.
Claims & capabilities
Free 5 meetings/mo; Pro $15/user/mo; Enterprise $22.50; Enterprise+ $29.75. Engagement analytics differentiator.
Technical surface
- API surface
- REST (Read.ai integrations API + webhooks)
- Backend storage
- custom
- Deployment
- Managed-only
- Embedding model
- locked
- Multi-tenancy
- hard-isolation
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
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
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- 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.